Changes between Version 52 and Version 53 of GENIBibliography


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Timestamp:
04/24/17 17:48:34 (2 years ago)
Author:
Mark Berman
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  • GENIBibliography

    v52 v53  
    4040<br>
    4141<a href="#concise">Jump to concise bibliography</a>
     42<br>
     43<a href="#authors">Jump to author list</a>
    4244<ol>
    43 <br>
    4445
    4546
     
    18301831<li>
    18311832<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
     1833, &quot;QoE management in DASH systems using the segment aware rate adaptation algorithm.&quot;
     1834NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE,
     18352016.
     1836doi:10.1109/noms.2016.7502805.
     1837<a href="http://dx.doi.org/10.1109/noms.2016.7502805">http://dx.doi.org/10.1109/noms.2016.7502805</a>
     1838<br><br><b>Abstract: </b>Dynamic Adaptive Streaming over HTTP (DASH) enables the video player to adapt the bitrate of the video while streaming to ensure playback without interruptions even with varying throughput. A DASH server hosts multiple representations of the same video, each of which is broken down into small segments of fixed playback duration. The video bitrate adaptation is purely driven by the player at the endhost. Typically, the player employs an Adaptive Bitrate (ABR) algorithm, that determines the most appropriate representation for the next segment to be downloaded, based on the current network conditions and user preferences. The aim of an ABR algorithm is to dynamically manage the Quality of Experience (QoE) of the user during the playback. ABR algorithms manage the QoE by maximizing the bitrate while at the same time trying to minimize the other QoE metrics: playback start time, duration and number of buffering events, and the number of bitrate switching events. Typically, the ABR algorithms manage the QoE by using the measured network throughput and buffer occupancy to adapt the playback bitrate. However, due to the video encoding schemes employed, the sizes of the individual segments may vary significantly. For low bandwidth networks, fluctuation in the segment sizes results in inaccurate estimation the expected segment fetch times, thereby resulting in inaccurate estimation of the optimum bitrate. In this paper we demonstrate how the Segment-Aware Rate Adaptation (SARA) algorithm, that considers the measured throughput, buffer occupancy, and the variation in segment sizes helps in better management of the users' QoE in a DASH system. By comparing with a typical throughput-based and buffer-based adaptation algorithm under varying network conditions, we demonstrate that SARA manages the QoE better, especially in a low bandwidth network. We also developed AStream, an open-source Python-based emulated DASH-video player that was used to evaluate three different ABR algor- thms and measure the QoE metrics with each of them.
     1839</li>
     1840<br>
     1841
     1842<li>
     1843<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
    18321844, &quot;SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP.&quot;
    18331845Communication Workshop (ICCW), 2015 IEEE International Conference on, IEEE,
     
    18361848<a href="http://dx.doi.org/10.1109/iccw.2015.7247436">http://dx.doi.org/10.1109/iccw.2015.7247436</a>
    18371849<br><br><b>Abstract: </b>Dynamic adaptive HTTP (DASH) based streaming is steadily becoming the most popular online video streaming technique. DASH streaming provides seamless playback by adapting the video quality to the network conditions during the video playback. A DASH server supports adaptive streaming by hosting multiple representations of the video and each representation is divided into small segments of equal playback duration. At the client end, the video player uses an adaptive bitrate selection (ABR) algorithm to decide the bitrate to be selected for each segment depending on the current network conditions. Currently, proposed ABR algorithms ignore the fact that the segment sizes significantly vary for a given video bitrate. Due to this, even though an ABR algorithm is able to measure the network bandwidth, it may fail to predict the time to download the next segment In this paper, we propose a segment-aware rate adaptation (SARA) algorithm that considers the segment size variation in addition to the estimated path bandwidth and the current buffer occupancy to accurately predict the time required to download the next segment We also developed an open source Python based emulated DASH video player, that was used to compare the performance of SARA and a basic ABR. Our results show that SARA provides a significant gain over the basic algorithm in the video quality delivered, without noticeably impacting the video switching rates.
    1838 </li>
    1839 <br>
    1840 
    1841 <li>
    1842 <b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
    1843 , &quot;QoE management in DASH systems using the segment aware rate adaptation algorithm.&quot;
    1844 NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE,
    1845 2016.
    1846 doi:10.1109/noms.2016.7502805.
    1847 <a href="http://dx.doi.org/10.1109/noms.2016.7502805">http://dx.doi.org/10.1109/noms.2016.7502805</a>
    1848 <br><br><b>Abstract: </b>Dynamic Adaptive Streaming over HTTP (DASH) enables the video player to adapt the bitrate of the video while streaming to ensure playback without interruptions even with varying throughput. A DASH server hosts multiple representations of the same video, each of which is broken down into small segments of fixed playback duration. The video bitrate adaptation is purely driven by the player at the endhost. Typically, the player employs an Adaptive Bitrate (ABR) algorithm, that determines the most appropriate representation for the next segment to be downloaded, based on the current network conditions and user preferences. The aim of an ABR algorithm is to dynamically manage the Quality of Experience (QoE) of the user during the playback. ABR algorithms manage the QoE by maximizing the bitrate while at the same time trying to minimize the other QoE metrics: playback start time, duration and number of buffering events, and the number of bitrate switching events. Typically, the ABR algorithms manage the QoE by using the measured network throughput and buffer occupancy to adapt the playback bitrate. However, due to the video encoding schemes employed, the sizes of the individual segments may vary significantly. For low bandwidth networks, fluctuation in the segment sizes results in inaccurate estimation the expected segment fetch times, thereby resulting in inaccurate estimation of the optimum bitrate. In this paper we demonstrate how the Segment-Aware Rate Adaptation (SARA) algorithm, that considers the measured throughput, buffer occupancy, and the variation in segment sizes helps in better management of the users' QoE in a DASH system. By comparing with a typical throughput-based and buffer-based adaptation algorithm under varying network conditions, we demonstrate that SARA manages the QoE better, especially in a low bandwidth network. We also developed AStream, an open-source Python-based emulated DASH-video player that was used to evaluate three different ABR algor- thms and measure the QoE metrics with each of them.
    18491850</li>
    18501851<br>
     
    23982399<li>
    23992400<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     2401, &quot;Next Generation Virtual Network Architecture for Multi-tenant Distributed Clouds: Challenges and Emerging Techniques.&quot;
     2402Proceedings of the 4th Workshop on Distributed Cloud Computing, Chicago, Illinois, ACM, New York, NY, USA,
     24032016.
     2404doi:10.1145/2955193.2955194.
     2405<a href="http://dx.doi.org/10.1145/2955193.2955194">http://dx.doi.org/10.1145/2955193.2955194</a>
     2406<br><br><b>Abstract: </b>Providing services for multiple tenants within a single or federated distributed cloud environment requires a variety of special considerations related to network design, provisioning, and operations. Especially important are multiple topics concerning the implementation of multiple parallel programmable virtual networks for large numbers of tenants, who require autonomous management, control, and data planes. This paper provides an overview of some of the challenges that arise from developing and implementing parallel programmable virtual networks, describes experiences with several experimental techniques for addressing those challenges based on large scale distributed testbeds, and presents the results of the experiments that were conducted. Distributed environments used include a distributed cloud testbed, the Chameleon Cloud, sponsored by the National Science Foundation's NSFCloud program, the NSF's Global Environment for Network Innovations (GENI), an international distributed OpenFlow testbed, and the Open Science Data Cloud.
     2407</li>
     2408<br>
     2409
     2410<li>
     2411<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     2412, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
     2413Teletraffic Congress (ITC), 2014 26th International, IEEE,
     24142014.
     2415doi:10.1109/itc.2014.6932970.
     2416<a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
     2417<br><br><b>Abstract: </b>Software Defined Networks (SDNs), primarily based on OpenFlow, are being deployed in single domain networks around the world. The popularity of SDNs has given rise to multiple considerations about designing, implementing, and operating Software-Defined Network Exchanges (SDXs), to enable SDNs to interconnect SDN islands and to extend SDNs across multiple domains. These goals can be accomplished only by developing new techniques that extend the single domain orientation of current SDN/OpenFlow approaches to include capabilities for multidomain control, including those for resource discovery, signaling, and dynamic provisioning. Several networking research communities have begun to investigate these concepts. Early architectural models of SDXs have been designed and implemented as prototypes. These SDXs are being used to conduct experiments and to demonstrate the potentials of SDXs.
     2418</li>
     2419<br>
     2420
     2421<li>
     2422<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    24002423, &quot;Creating environments for innovation: Designing and implementing advanced experimental network research testbeds based on the Global Lambda Integrated Facility and the StarLight Exchange.&quot;
    24012424Computer Networks,
     
    24042427<a href="http://dx.doi.org/10.1016/j.bjp.2013.12.024">http://dx.doi.org/10.1016/j.bjp.2013.12.024</a>
    24052428<br><br><b>Abstract: </b>Large scale national and international experimental research environments are required to advance communication services and supporting network architecture, technology, and infrastructure. Theories and concepts are often explored using simulation and modeling techniques within labs or on small scale testbeds. However, while such testbeds are valuable resources for the research process, these facilities alone cannot provide an appropriate approximation of the real world conditions required to explore ideas at scale. Very large scale global, experimental network research capabilities are required to deeply investigate innovative concepts. For many years, network testbeds were created to address fairly specific, well defined, limited research goals, and they were implemented for fairly short periods. Recently, taking advantage of a number of macro information technology trends, such as virtualization and programmable resources, several network research communities have been developing innovative types of network research environments. Instead of designing traditional network testbeds, research communities are designing large scale, highly flexible distributed platforms that can be used to create many different types of testbeds. Also, rather than creating short term testbeds for limited research objectives, these new environments are being designed as long term persistent resources to support many types of experimental research. This paper describes the motivations for this trend, provides several examples of large scale distributed network research environments based on the Global Lambda Integrated Facility (GLIF) and the StarLight Exchange Facility, including the Global Environment for Network Innovation (GENI), and indicates emerging future trends for these types of environments.
    2406 </li>
    2407 <br>
    2408 
    2409 <li>
    2410 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    2411 , &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
    2412 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    2413 2014.
    2414 doi:10.1109/itc.2014.6932970.
    2415 <a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
    2416 <br><br><b>Abstract: </b>Software Defined Networks (SDNs), primarily based on OpenFlow, are being deployed in single domain networks around the world. The popularity of SDNs has given rise to multiple considerations about designing, implementing, and operating Software-Defined Network Exchanges (SDXs), to enable SDNs to interconnect SDN islands and to extend SDNs across multiple domains. These goals can be accomplished only by developing new techniques that extend the single domain orientation of current SDN/OpenFlow approaches to include capabilities for multidomain control, including those for resource discovery, signaling, and dynamic provisioning. Several networking research communities have begun to investigate these concepts. Early architectural models of SDXs have been designed and implemented as prototypes. These SDXs are being used to conduct experiments and to demonstrate the potentials of SDXs.
    2417 </li>
    2418 <br>
    2419 
    2420 <li>
    2421 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    2422 , &quot;Next Generation Virtual Network Architecture for Multi-tenant Distributed Clouds: Challenges and Emerging Techniques.&quot;
    2423 Proceedings of the 4th Workshop on Distributed Cloud Computing, Chicago, Illinois, ACM, New York, NY, USA,
    2424 2016.
    2425 doi:10.1145/2955193.2955194.
    2426 <a href="http://dx.doi.org/10.1145/2955193.2955194">http://dx.doi.org/10.1145/2955193.2955194</a>
    2427 <br><br><b>Abstract: </b>Providing services for multiple tenants within a single or federated distributed cloud environment requires a variety of special considerations related to network design, provisioning, and operations. Especially important are multiple topics concerning the implementation of multiple parallel programmable virtual networks for large numbers of tenants, who require autonomous management, control, and data planes. This paper provides an overview of some of the challenges that arise from developing and implementing parallel programmable virtual networks, describes experiences with several experimental techniques for addressing those challenges based on large scale distributed testbeds, and presents the results of the experiments that were conducted. Distributed environments used include a distributed cloud testbed, the Chameleon Cloud, sponsored by the National Science Foundation's NSFCloud program, the NSF's Global Environment for Network Innovations (GENI), an international distributed OpenFlow testbed, and the Open Science Data Cloud.
    24282429</li>
    24292430<br>
     
    28212822<li>
    28222823<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     2824, &quot;Operational System Testing for Designed in Security.&quot;
     2825Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     28262013.
     2827doi:10.1145/2459976.2460038.
     2828<a href="http://dx.doi.org/10.1145/2459976.2460038">http://dx.doi.org/10.1145/2459976.2460038</a>
     2829<br><br><b>Abstract: </b>To design secure systems, one needs to understand how attackers use system vulnerabilities in their favor. This requires testing vulnerabilities on operational systems. However, working on operational systems is not always possible because of the risk of disturbance. In this study, we introduce an approach to experimenting using operational system data and performing real attacks without disturbing the original system. We applied this approach to a network security experiment and tested the performance of three detection methods. The approach used in this study can be used when developing systems with Designed-in Security to identify and test system vulnerabilities.
     2830</li>
     2831<br>
     2832
     2833<li>
     2834<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    28232835, &quot;Security experimentation using operational systems.&quot;
    28242836Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     
    28272839<a href="http://dx.doi.org/10.1145/2179298.2179388">http://dx.doi.org/10.1145/2179298.2179388</a>
    28282840<br><br><b>Abstract: </b>Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of this growing dependence, there is a concern that these systems remain protected and available. This concern increases exponentially when considering systems such as smart power grids. Therefore, research should be conducted to develop effective ways of detecting system anomalies. To have realistic results, the studies should be tested on real systems. However, it is not possible to test these experiments on the live network. With the recent collaboration of Universities and research labs, a new experiment test bed has been established. As a result, experiments can now be implemented on real networks. In our study, we design an experiment to analyze Distributed Denial of Service Attacks (DDoS Attack) on a real network with real Internet traffic. The approach that we use in our study can easily be generalized to apply to smart power grids.
    2829 </li>
    2830 <br>
    2831 
    2832 <li>
    2833 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    2834 , &quot;Operational System Testing for Designed in Security.&quot;
    2835 Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
    2836 2013.
    2837 doi:10.1145/2459976.2460038.
    2838 <a href="http://dx.doi.org/10.1145/2459976.2460038">http://dx.doi.org/10.1145/2459976.2460038</a>
    2839 <br><br><b>Abstract: </b>To design secure systems, one needs to understand how attackers use system vulnerabilities in their favor. This requires testing vulnerabilities on operational systems. However, working on operational systems is not always possible because of the risk of disturbance. In this study, we introduce an approach to experimenting using operational system data and performing real attacks without disturbing the original system. We applied this approach to a network security experiment and tested the performance of three detection methods. The approach used in this study can be used when developing systems with Designed-in Security to identify and test system vulnerabilities.
    28402841</li>
    28412842<br>
     
    38853886<li>
    38863887<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    3887 , &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
    3888 Journal of Simulation,
    3889 2012.
    3890 doi:10.1057/jos.2012.5.
    3891 <a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
    3892 <br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform—a 'virtual laboratory' for the design, implementation, and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated, and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines, local cluster nodes running virtual machines, and external networks to seamlessly interoperate with the simulated network running within a designated 'slice' of resources. We present the results of our preliminary validation and performance studies to demonstrate the capabilities as well as limitations of our approach.
    3893 </li>
    3894 <br>
    3895 
    3896 <li>
    3897 <b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    38983888, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot;
    38993889Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
     
    39023892<a href="http://dx.doi.org/10.1109/pads.2011.5936747">http://dx.doi.org/10.1109/pads.2011.5936747</a>
    39033893<br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform -- a &#x76;&#x0308;irtual laboratory'' for the design, implementation and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines and local cluster nodes running virtual machines to seamlessly interoperate with the simulated network running within a designated &#x73;&#x0308;lice'' of resources. We show the results of our preliminary validation and performance studies to demonstrate the capabilities and limitations of our approach.
     3894</li>
     3895<br>
     3896
     3897<li>
     3898<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     3899, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
     3900Journal of Simulation,
     39012012.
     3902doi:10.1057/jos.2012.5.
     3903<a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
     3904<br><br><b>Abstract: </b>The Global Environment for Network Innovations (GENI) is a community-driven research and development effort to build a collaborative and exploratory network experimentation platform—a 'virtual laboratory' for the design, implementation, and evaluation of future networks. The PrimoGENI project enables real-time network simulation by extending an existing network simulator to become part of the GENI federation to support large-scale experiments involving physical, simulated, and emulated network entities. In this paper, we describe a novel design of PrimoGENI, which aims at supporting realistic, scalable, and flexible network experiments with real-time simulation and emulation capabilities. We present a flexible emulation infrastructure that allows both remote client machines, local cluster nodes running virtual machines, and external networks to seamlessly interoperate with the simulated network running within a designated 'slice' of resources. We present the results of our preliminary validation and performance studies to demonstrate the capabilities as well as limitations of our approach.
    39043905</li>
    39053906<br>
     
    41824183<li>
    41834184<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
     4185, &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot;
     4186Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
     41872014.
     4188doi:10.1145/2627566.2627573.
     4189<a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a>
     4190<br><br><b>Abstract: </b>Due to the economy of scale of Ethernet networks and available dynamic circuit capability from the major national research and educational networks, VLAN (Virtual LAN) based virtual networking solution has been successfully adopted in some advanced distributed cloud systems. However, there are two major constraints in this adaptation: (1) dynamic circuit service is far from pervasive; (2) there is only limited VLAN tags offered by regional network service providers. In this paper, after examining layer-2 networking in large-scale distributed cloud environments, we present a graph theoretical model to study the network capacity in terms of the number of inter-cloud connections that can co-exist. We further design the algorithms to achieve this capacity for both point-to-point and multi-point inter-cloud connections in both static and dynamic scenarios. We also study a general topology embedding problem based on this model. As tagging is a common mechanism for isolating communication channels in other network layers, the proposed models and algorithms can be extended to optical and IP networks.
     4191</li>
     4192<br>
     4193
     4194<li>
     4195<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    41844196, &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot;
    41854197Teletraffic Congress (ITC), 2014 26th International, IEEE,
     
    41884200<a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a>
    41894201<br><br><b>Abstract: </b>In this paper, we study the problem of provisioning large-scale virtual clusters over federated clouds connected by multi-domain, layer-2 wide area networks. We first present the virtual cluster request abstraction and the abstraction models for substrate resource pools. Based on these two abstraction models, we developed a novel layer-2 exchange mechanism and an implementation of it in a multi-domain networked cloud environment. The design of the mechanism takes into consideration the realistic constraints in current network and cloud systems. We show that efficient cluster splitting, cloud data center selection and resource allocation algorithms can be developed to provision large-scale virtual clusters across cloud sites. A prototype system has been deployed and integrated into the ExoGENI testbed for about a year, and is being heavily used by scientific and data analytic applications.
    4190 </li>
    4191 <br>
    4192 
    4193 <li>
    4194 <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    4195 , &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot;
    4196 Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
    4197 2014.
    4198 doi:10.1145/2627566.2627573.
    4199 <a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a>
    4200 <br><br><b>Abstract: </b>Due to the economy of scale of Ethernet networks and available dynamic circuit capability from the major national research and educational networks, VLAN (Virtual LAN) based virtual networking solution has been successfully adopted in some advanced distributed cloud systems. However, there are two major constraints in this adaptation: (1) dynamic circuit service is far from pervasive; (2) there is only limited VLAN tags offered by regional network service providers. In this paper, after examining layer-2 networking in large-scale distributed cloud environments, we present a graph theoretical model to study the network capacity in terms of the number of inter-cloud connections that can co-exist. We further design the algorithms to achieve this capacity for both point-to-point and multi-point inter-cloud connections in both static and dynamic scenarios. We also study a general topology embedding problem based on this model. As tagging is a common mechanism for isolating communication channels in other network layers, the proposed models and algorithms can be extended to optical and IP networks.
    42014202</li>
    42024203<br>
     
    44424443<a id="concise"><H1>Concise GENI Bibliography</H1></a>
    44434444<a href="#full">Jump to full bibliography</a>
     4445<br>
     4446<a href="#authors">Jump to author list</a>
     4447
    44444448<ol>
    44454449
     
    51185122<li>
    51195123<b>Chen, Kang and Shen, Haiying</b>
     5124, &quot;Global optimization of file availability through replication for efficient file sharing in MANETs.&quot
     5125Network Protocols (ICNP), 2011 19th IEEE International Conference on, Vancouver, AB, Canada, IEEE,
     51262011.
     5127doi:10.1109/icnp.2011.6089056.
     5128</li>
     5129<br>
     5130
     5131<li>
     5132<b>Chen, Kang and Shen, Haiying</b>
    51205133, &quot;Cont2: Social-Aware Content and Contact Based File Search in Delay Tolerant Networks.&quot
    51215134Proceedings of the 2013 42Nd International Conference on Parallel Processing, IEEE Computer Society, Washington, DC, USA,
    512251352013.
    51235136doi:10.1109/icpp.2013.28.
    5124 </li>
    5125 <br>
    5126 
    5127 <li>
    5128 <b>Chen, Kang and Shen, Haiying</b>
    5129 , &quot;Global optimization of file availability through replication for efficient file sharing in MANETs.&quot
    5130 Network Protocols (ICNP), 2011 19th IEEE International Conference on, Vancouver, AB, Canada, IEEE,
    5131 2011.
    5132 doi:10.1109/icnp.2011.6089056.
    51335137</li>
    51345138<br>
     
    59555959<li>
    59565960<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
     5961, &quot;QoE management in DASH systems using the segment aware rate adaptation algorithm.&quot
     5962NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE,
     59632016.
     5964doi:10.1109/noms.2016.7502805.
     5965</li>
     5966<br>
     5967
     5968<li>
     5969<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
    59575970, &quot;SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP.&quot
    59585971Communication Workshop (ICCW), 2015 IEEE International Conference on, IEEE,
    595959722015.
    59605973doi:10.1109/iccw.2015.7247436.
    5961 </li>
    5962 <br>
    5963 
    5964 <li>
    5965 <b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
    5966 , &quot;QoE management in DASH systems using the segment aware rate adaptation algorithm.&quot
    5967 NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE,
    5968 2016.
    5969 doi:10.1109/noms.2016.7502805.
    59705974</li>
    59715975<br>
     
    67836787<li>
    67846788<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    6785 , &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
    6786 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    6787 2012.
    6788 
     6789, &quot;Operational System Testing for Designed in Security.&quot
     6790Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     67912013.
     6792doi:10.1145/2459976.2460038.
    67896793</li>
    67906794<br>
     
    68016805<li>
    68026806<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    6803 , &quot;Operational System Testing for Designed in Security.&quot
    6804 Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
    6805 2013.
    6806 doi:10.1145/2459976.2460038.
     6807, &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
     6808First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     68092012.
     6810
    68076811</li>
    68086812<br>
     
    76927696<li>
    76937697<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    7694 , &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot
    7695 Journal of Simulation,
    7696 2012.
    7697 doi:10.1057/jos.2012.5.
    7698 </li>
    7699 <br>
    7700 
    7701 <li>
    7702 <b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    77037698, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot
    77047699Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
    770577002011.
    77067701doi:10.1109/pads.2011.5936747.
     7702</li>
     7703<br>
     7704
     7705<li>
     7706<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     7707, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot
     7708Journal of Simulation,
     77092012.
     7710doi:10.1057/jos.2012.5.
    77077711</li>
    77087712<br>
     
    81598163
    81608164</ol>
    8161 
     8165<hr>
     8166<a id="authors"><H1>GENI Authors</H1></a>
     8167<br>
     8168<a href="#full">Jump to full bibliography</a>
     8169<br>
     8170<a href="#concise">Jump to concise bibliography</a>
     8171<br>
     8172<br>
     8173<ol>
     8174
     8175<li> Abbott, Carmen </li>
     8176<li> Abdelhadi, Ahmed </li>
     8177<li> Abu Obaida, M. </li>
     8178<li> Adams, George B. </li>
     8179<li> Agyapong, Patrick </li>
     8180<li> Ahmed, Musa </li>
     8181<li> Ahmed, Nadeem </li>
     8182<li> Aikat, Jay </li>
     8183<li> Akella, Aditya </li>
     8184<li> Akhtar, Nabeel (Akhtar, N.) </li>
     8185<li> Akula, Amit R. </li>
     8186<li> Al-Hazmi, Yahya </li>
     8187<li> Alali, Fatma </li>
     8188<li> Albrecht, Jeannie R. (Albrecht, J., Albrecht, Jeannie) </li>
     8189<li> Aleroud, Ahmad </li>
     8190<li> AlEroud, Ahmed </li>
     8191<li> Alfuqaha, A. </li>
     8192<li> Alsmadi, Izzat </li>
     8193<li> Amariucai, G. </li>
     8194<li> Amin, Rahul </li>
     8195<li> Anan, M. </li>
     8196<li> Andersen, David </li>
     8197<li> Anderson, Thomas </li>
     8198<li> Anderson, Tom </li>
     8199<li> Angu, Pragatheeswaran </li>
     8200<li> Anifantis, Evangelos </li>
     8201<li> Antequera, Ronny B. (Antequera, R. B.) </li>
     8202<li> Antonenko, V. </li>
     8203<li> Appenzeller, Guido </li>
     8204<li> Araji, B. </li>
     8205<li> Arora, Anish </li>
     8206<li> Ascigil, Onur (Ascigil, O.) </li>
     8207<li> Auge&#769;, Jordan </li>
     8208<li> Autenrieth, A. </li>
     8209<li> Avakian, Sandrine </li>
     8210<li> Ayyash, M. </li>
     8211<li> Babaoglu, Ahmet C. (Babaoglu, A. C.) </li>
     8212<li> Baid, Akash </li>
     8213<li> Bailey, S. </li>
     8214<li> Baily, S. </li>
     8215<li> Bakshi, Parth </li>
     8216<li> Balakrishnan, Hari </li>
     8217<li> Baldin, Ilya (Baldin, I.) </li>
     8218<li> Baldine, Ilia (Baldine, I.) </li>
     8219<li> Banerjee, Nilanjan </li>
     8220<li> Bannazadeh, Hadi </li>
     8221<li> Barford, Paul </li>
     8222<li> Baron, Loi&#776;c </li>
     8223<li> Barrett, Daniel </li>
     8224<li> Baset, Salman A. </li>
     8225<li> Bashir, Sadia </li>
     8226<li> Bastin, NIcholas (Bastin, Nicholas) </li>
     8227<li> Bavier, Andrew </li>
     8228<li> Bavier, Andy </li>
     8229<li> Behal, Sunny </li>
     8230<li> Bejerano, Y. </li>
     8231<li> Ben Yoo, S. J. </li>
     8232<li> Benhaddou, Driss </li>
     8233<li> Benzel, Terry </li>
     8234<li> Bergesio, L. </li>
     8235<li> Berman, Mark (Berman, M.) </li>
     8236<li> Berryman, Alex (Berryman, A.) </li>
     8237<li> Beyene, Tsegereda </li>
     8238<li> Bhanage, Gautam (Bhanage, G., Bhanage, G. D.) </li>
     8239<li> Bhat, Divyashri </li>
     8240<li> Bhat, Shireesh </li>
     8241<li> Bhojwani, Sushil </li>
     8242<li> bin Tariq, Mukarram </li>
     8243<li> Blaine, Jessica </li>
     8244<li> Blanton, Ethan </li>
     8245<li> Blanton, Marina </li>
     8246<li> Blythe, Jim </li>
     8247<li> Boutaba, Raouf </li>
     8248<li> Bowman, Jason </li>
     8249<li> Bozakov, Zdravko </li>
     8250<li> Braud, Ryan </li>
     8251<li> Brieger, L. </li>
     8252<li> Brinn, Marshall (Brinn, M.) </li>
     8253<li> Bronzino, Francesco </li>
     8254<li> Brooks, Richard R. (Brooks, R. R.) </li>
     8255<li> Brown, D. </li>
     8256<li> Brown, Stephanie </li>
     8257<li> Buffington, Cort </li>
     8258<li> Byers, John </li>
     8259<li> Caesar, Matthew </li>
     8260<li> Cai, H. </li>
     8261<li> Calvert, Kenneth L. (Calvert, K., Calvert, K. L., Calvert, Ken) </li>
     8262<li> Calyam, Prasad (Calyam, P.) </li>
     8263<li> Cameron, Katherine </li>
     8264<li> Campanella, Mauro </li>
     8265<li> Cappos, Justin (Cappos, J.) </li>
     8266<li> Carlson, Ross </li>
     8267<li> Carpenter, Charles (Carpenter, C.) </li>
     8268<li> Casellas, Ramon </li>
     8269<li> Castillo, Claris (Castillo, C.) </li>
     8270<li> Castillo, Eduardo J. </li>
     8271<li> Cecil, Joe (Cecil, J.) </li>
     8272<li> Chakrabortty, Aranya </li>
     8273<li> Channegowda, M. </li>
     8274<li> Chase, Jeffrey S. (Chase, J., Chase, Jeff, Chase, Jeffrey) </li>
     8275<li> Chase, Unc-Ch J. </li>
     8276<li> Chatterjee, Sarbajit </li>
     8277<li> Chemodanov, Dmitrii (Chemodanov, D.) </li>
     8278<li> Chen, C. L. Philip (Chen, Cen) </li>
     8279<li> Chen, Jim (Chen, J.) </li>
     8280<li> Chen, Kang </li>
     8281<li> Chen, Shuoshuo </li>
     8282<li> Chen, Xiaoliang (Chen, X., Chen, Xinming) </li>
     8283<li> Chen, Yang </li>
     8284<li> Cherukuri, Ramkumar </li>
     8285<li> Chikkulapelly, Srikanth (Chikkulapelly, S.) </li>
     8286<li> Chin, Tommy </li>
     8287<li> Choffnes, David R. (Choffnes, David) </li>
     8288<li> Choi, Baek-Young </li>
     8289<li> Chowdhury </li>
     8290<li> Chuah, M. </li>
     8291<li> Chung, Chun-Jen </li>
     8292<li> Clancy, T. Charles </li>
     8293<li> Clark, Russell (Clark, Russ) </li>
     8294<li> Coady, Yvonne (Coady, Y.) </li>
     8295<li> Colle, Didier (Colle, D.) </li>
     8296<li> Collings, Jake </li>
     8297<li> Comer, Douglas </li>
     8298<li> Corner, Mark </li>
     8299<li> Coulaby, Adama </li>
     8300<li> Crovella, Mark </li>
     8301<li> Crowley, Patrick </li>
     8302<li> Cunha, I&#769;talo (Cunha, Italo) </li>
     8303<li> C&#807;etinkaya, Egemen K. </li>
     8304<li> Dabbish, Laura </li>
     8305<li> Dadoukis, Aris </li>
     8306<li> Dane, L. </li>
     8307<li> Dao, Darren </li>
     8308<li> Das, Ananya </li>
     8309<li> Das, S. </li>
     8310<li> DaSilva, Luiz A. </li>
     8311<li> Day, John </li>
     8312<li> Daya, R. </li>
     8313<li> de Graaff, Ben </li>
     8314<li> de Laat, Cees </li>
     8315<li> Decker, Steven G. </li>
     8316<li> DeCusatis, Casimer </li>
     8317<li> Deelman, Ewa (Deelman, E.) </li>
     8318<li> DeHart, John </li>
     8319<li> Demeester, Piet </li>
     8320<li> Dempsey, HeidiPicher </li>
     8321<li> Denazis, Spyros </li>
     8322<li> Deng, Juan </li>
     8323<li> Desai, P. D. </li>
     8324<li> Desell, Travis </li>
     8325<li> Despotovic, Zoran </li>
     8326<li> Dhondge, Kaustubh </li>
     8327<li> Diamant, E. Ilana </li>
     8328<li> Dietz, T. </li>
     8329<li> Domingue, John </li>
     8330<li> Dong, Chen </li>
     8331<li> Dong, Mo </li>
     8332<li> Donovan, Sean P. </li>
     8333<li> Dos Santos, F. </li>
     8334<li> Doucette, Cody </li>
     8335<li> Downie, Keith </li>
     8336<li> Dragga, Chris </li>
     8337<li> Duan, Y. </li>
     8338<li> Duerig, Jonathon (Duerig, J.) </li>
     8339<li> Dumba, Braulio </li>
     8340<li> Duplyakin, Dmitry </li>
     8341<li> Dutta, Rudra (Dutta, R.) </li>
     8342<li> Edwards, Sarah </li>
     8343<li> Egemen </li>
     8344<li> Eide, Eric </li>
     8345<li> El Alaoui, Sara </li>
     8346<li> Elliott, Chip </li>
     8347<li> Elliott, Steven D. </li>
     8348<li> Emmerson, Steve </li>
     8349<li> Erazo, Miguel A. (Erazo, M.) </li>
     8350<li> Esposito, Flavio (Esposito, F.) </li>
     8351<li> Evans, Daniel </li>
     8352<li> Faber, Ted </li>
     8353<li> Faerman, Marcio </li>
     8354<li> Fahmy, Sonia </li>
     8355<li> Falk, Aaron </li>
     8356<li> Fdida, Serge </li>
     8357<li> Feamster, Nick </li>
     8358<li> Fei, Zongming </li>
     8359<li> Femminella, Mauro (Femminella, M.) </li>
     8360<li> Feng, Xiaotao </li>
     8361<li> Ferragut, J. </li>
     8362<li> Fioravanti, Mark E. </li>
     8363<li> Fischer, Stefan </li>
     8364<li> Flores, R. R. </li>
     8365<li> Fouli, Kerim </li>
     8366<li> Fowler, Robert </li>
     8367<li> Francescangeli, Roberto (Francescangeli, R.) </li>
     8368<li> Francis, Gareth </li>
     8369<li> Freeman, PeterA </li>
     8370<li> Freestone, Amy </li>
     8371<li> Friedman, Timur </li>
     8372<li> Fu, Bo </li>
     8373<li> Fu, Yu </li>
     8374<li> Fund, Fraida </li>
     8375<li> Gangam, Sriharsha </li>
     8376<li> Ganu, S. </li>
     8377<li> Gao, Jingcheng </li>
     8378<li> Gao, Lixin </li>
     8379<li> Gargees, R. </li>
     8380<li> Ge, Jingguo </li>
     8381<li> Gember, Aaron </li>
     8382<li> Getachew, D. </li>
     8383<li> Ghaffarinejad, A. </li>
     8384<li> Giatili, Mary </li>
     8385<li> Giertych, Micha&#322; </li>
     8386<li> Goasguen, Sebastien </li>
     8387<li> Godfrey, P. Brighten </li>
     8388<li> Gosain, Abhimanyu </li>
     8389<li> Grammatikou, Mary </li>
     8390<li> Grandl, Robert </li>
     8391<li> Griffioen, James (Griffioen, J., Griffioen, Jim) </li>
     8392<li> Grosso, Paola </li>
     8393<li> Group, GENI Planning </li>
     8394<li> Gruenbacher, Don (Gruenbacher, D.) </li>
     8395<li> Guan, Xinjie </li>
     8396<li> Guan, Yong </li>
     8397<li> Gugel, Y. </li>
     8398<li> Gummeson, Jeremy </li>
     8399<li> Guo, K. </li>
     8400<li> Gupta, Arpit </li>
     8401<li> Gupta, V. </li>
     8402<li> Gurkan, Deniz (Gurkan, D.) </li>
     8403<li> Gutterman, C. </li>
     8404<li> Hadjichristofi, G. </li>
     8405<li> Haider, Syed A. </li>
     8406<li> Hameed, Mahmood A. (Hameed, M. A.) </li>
     8407<li> Han, Chao </li>
     8408<li> Han, Dongsu </li>
     8409<li> Hartpence, Bruce </li>
     8410<li> Hasan, Shaddi </li>
     8411<li> Hay, Brian </li>
     8412<li> Hayashi, Michiaki </li>
     8413<li> Heerman, Chris (Heerman, C.) </li>
     8414<li> Heermann, Chris </li>
     8415<li> Heller, Brandon </li>
     8416<li> Hemmings, Matthew (Hemmings, Matt) </li>
     8417<li> Herron, Jon-Paul </li>
     8418<li> Hibler, Mike </li>
     8419<li> Hong, Xiaoyan </li>
     8420<li> Hsiao, Hsu C. </li>
     8421<li> Hua, Jing </li>
     8422<li> Huang, Dijiang (Huang, D. Y.) </li>
     8423<li> Huang, Shufeng (Huang, Shu) </li>
     8424<li> Hume, Alastair C. </li>
     8425<li> Husain, M. I. </li>
     8426<li> Hussain, Alefiya </li>
     8427<li> Igarashi, K. </li>
     8428<li> Ilyas, Muhammad U. </li>
     8429<li> Ilyes, L. </li>
     8430<li> Ingalls, Daniel (Ingalls, Dan) </li>
     8431<li> Iqbal, Azeem </li>
     8432<li> Irwin, David (Irwin, D.) </li>
     8433<li> Irwin, Ryan </li>
     8434<li> Izard, Ryan (Izard, R.) </li>
     8435<li> Izhvanov, Y. </li>
     8436<li> Jabbar, Abdul (Jabbar, A.) </li>
     8437<li> Jain, Raj </li>
     8438<li> Jain, Shweta </li>
     8439<li> Janak, Jan (Janak, J.) </li>
     8440<li> Javed, Umar </li>
     8441<li> Javed, Uzzam </li>
     8442<li> Jeffay, Kevin </li>
     8443<li> Ji, Xiang </li>
     8444<li> Jin, Cheng </li>
     8445<li> Jin, Hai </li>
     8446<li> Jin, Ruofan </li>
     8447<li> Jofre, Jordi </li>
     8448<li> Jourjon, Guillaume </li>
     8449<li> Ju, Xi </li>
     8450<li> Juluri, Parikshit </li>
     8451<li> Kala, Sumit </li>
     8452<li> Kamat, P. </li>
     8453<li> Kaminsky, Michael </li>
     8454<li> Kanada, Yasusi </li>
     8455<li> Kang, Ruogu </li>
     8456<li> Kangarlou, A. </li>
     8457<li> Kappler, Chris </li>
     8458<li> Katz-Bassett, Ethan </li>
     8459<li> Kellerer, Wolfgang </li>
     8460<li> Khatkar, P. </li>
     8461<li> Khurshid, Ahmed </li>
     8462<li> Kiesler, Sara </li>
     8463<li> Kim, Dae Y. </li>
     8464<li> Kim, Dongchan </li>
     8465<li> Kim, Dongkyun </li>
     8466<li> Kim, Hyojoon </li>
     8467<li> Kim, Hyunjun </li>
     8468<li> Kim, JongWon </li>
     8469<li> Kim, Joobum </li>
     8470<li> Kim, Seung-Hae </li>
     8471<li> Kim, Tiffany H. </li>
     8472<li> Kind, M. </li>
     8473<li> Kissel, Ezra </li>
     8474<li> Kitamura, Yasuichi </li>
     8475<li> Kline, Donald </li>
     8476<li> Kobayashi, Masayoshi </li>
     8477<li> Koning, Ralph </li>
     8478<li> Kooij, Robert E. </li>
     8479<li> Korakis, Thanasis </li>
     8480<li> Kotronis, V. </li>
     8481<li> Kozat, U. C. </li>
     8482<li> Ko&#776;psel, A. </li>
     8483<li> Ko&#776;rner, M. </li>
     8484<li> Krahn, Robert </li>
     8485<li> Kribbs, Benton </li>
     8486<li> Krishnamoorthy, Aravind </li>
     8487<li> Krishnamurthy, Arvind </li>
     8488<li> Krishnan, Narayan </li>
     8489<li> Krishnappa, Dilip K. (Krishnappa, D. K.) </li>
     8490<li> Kuai, Meng </li>
     8491<li> Kuhns, Fred </li>
     8492<li> Kumar, Sailesh </li>
     8493<li> Lampropoulos, Kostas </li>
     8494<li> Landi, Giada </li>
     8495<li> Landweber, Lawrence </li>
     8496<li> Lantz, B. </li>
     8497<li> Lara, Adrian </li>
     8498<li> Larabi, Mohamed A. </li>
     8499<li> Lary, David </li>
     8500<li> Lauer, Gregory </li>
     8501<li> Leal, William </li>
     8502<li> Lee, Charlotte P. </li>
     8503<li> Lee, Hyunwoo </li>
     8504<li> Lee, Jae W. (Lee, J. W.) </li>
     8505<li> Lee, Ki S. </li>
     8506<li> Lee, Soo B. </li>
     8507<li> Lee, Suk B. </li>
     8508<li> Lee, Sungwon </li>
     8509<li> Lent, Ricardo </li>
     8510<li> Leon-Garcia, Alberto </li>
     8511<li> Leto, Ray </li>
     8512<li> Levine, Brian </li>
     8513<li> Li, Chuan </li>
     8514<li> Li, Dawei </li>
     8515<li> Li, Erluo </li>
     8516<li> Li, Jing </li>
     8517<li> Li, Min </li>
     8518<li> Li, Qingxi </li>
     8519<li> Li, Ting </li>
     8520<li> Li, Tong </li>
     8521<li> Li, Xiangyang </li>
     8522<li> Li, Xiaolin </li>
     8523<li> Li, Ze </li>
     8524<li> Liang, Wei </li>
     8525<li> Lim, Chiun L. </li>
     8526<li> Lim, Hyeontaek </li>
     8527<li> Lin, Regina </li>
     8528<li> Lin, Shan </li>
     8529<li> Lin, Yue H. </li>
     8530<li> Lincke, Jens </li>
     8531<li> Little, Joseph </li>
     8532<li> Liu, Guoxin </li>
     8533<li> Liu, Jason (Liu, J., Liu, Jun) </li>
     8534<li> Liu, Kaikai </li>
     8535<li> Liu, Lei </li>
     8536<li> Liu, Te-Lung </li>
     8537<li> Liu, Xinxin </li>
     8538<li> Liu, Xuan </li>
     8539<li> Liu, Yong </li>
     8540<li> Lockwood, John </li>
     8541<li> Loughnane, Robyn </li>
     8542<li> Lu, Hui </li>
     8543<li> Lu, Jing </li>
     8544<li> Luna, Nicholas </li>
     8545<li> Luo, Mon-Yen </li>
     8546<li> Lynn, Brian </li>
     8547<li> Lyons, Eric (Lyons, E.) </li>
     8548<li> Ma, Shoujiang </li>
     8549<li> Maccherani, E. </li>
     8550<li> Machado, Michel </li>
     8551<li> Mache, Jens </li>
     8552<li> Mack, Tony </li>
     8553<li> Madhyastha, Harsha V. </li>
     8554<li> Magedanz, Thomas </li>
     8555<li> Maglaris, Vasilis </li>
     8556<li> Mahindra, Rajesh (Mahindra, R.) </li>
     8557<li> Malishevskiy, A. </li>
     8558<li> Mambretti, Joe (Mambretti, J.) </li>
     8559<li> Mandal, Anirban (Mandal, A.) </li>
     8560<li> Mandvekar, Lokesh (Mandvekar, L.) </li>
     8561<li> Marasevic, J. </li>
     8562<li> Marcondes, Cesar </li>
     8563<li> Marquez-Barja, Johann M. </li>
     8564<li> Martin, James (Martin, J., Martin, Jim) </li>
     8565<li> Martin, Vincent </li>
     8566<li> Martinez, Ricardo </li>
     8567<li> Marupadi, Varun </li>
     8568<li> Mathy, Laurent </li>
     8569<li> Matta, Ibrahim (Matta, I.) </li>
     8570<li> Matthews, Chris (Matthews, C.) </li>
     8571<li> Maziku, Hellen (Maziku, H.) </li>
     8572<li> McGeer, Rick (McGeer, R.) </li>
     8573<li> McGeer, Sean </li>
     8574<li> McKeown, Nick (McKeown, N.) </li>
     8575<li> Medhi, Deep </li>
     8576<li> Mehani, Olivier </li>
     8577<li> Mehto, RInkel </li>
     8578<li> Meijer, Robert </li>
     8579<li> Mekky, Hesham (Mekky, H.) </li>
     8580<li> Me&#769;dard, Muriel </li>
     8581<li> Michel, Oliver </li>
     8582<li> Mikroyannidis, Alexander </li>
     8583<li> Miller, Ruth </li>
     8584<li> Mills, Jonathan </li>
     8585<li> Mirkovic, Jelena </li>
     8586<li> Mishra, Anup </li>
     8587<li> Mitchell, Thomas </li>
     8588<li> Mitroff, Sarah </li>
     8589<li> Mohan, S. </li>
     8590<li> Montpetit, Marie-Jose&#769; </li>
     8591<li> Moore, R. </li>
     8592<li> Morago, B. </li>
     8593<li> Morita, Itsuro </li>
     8594<li> Morsey, Mohamed </li>
     8595<li> Mountrouidou, Xenia </li>
     8596<li> Muhammad, Monzur </li>
     8597<li> Mukerjee, Matthew K. (Mukerjee, Matthew) </li>
     8598<li> Mukherjee, Shreyasee </li>
     8599<li> Mundada, Yogesh </li>
     8600<li> Munoz, Raul </li>
     8601<li> Mu&#776;eller, Paul (Mueller, Paul) </li>
     8602<li> Mu&#776;ller, Paul </li>
     8603<li> Mysore, S. </li>
     8604<li> Nagaraja, Kiran </li>
     8605<li> Nakajima, Y. </li>
     8606<li> Nakao, Akihiro (Nakao, Aki) </li>
     8607<li> Nakauchi, Kiyohide </li>
     8608<li> Nance, Kara </li>
     8609<li> Nandagopal, T. </li>
     8610<li> Narayan, S. </li>
     8611<li> Narayanan, Arvind </li>
     8612<li> Narisetty, RajaRevanth (Narisetty, R.) </li>
     8613<li> Nasir, Hussanmuddin (Nasir, H., Nasir, Hussamuddin) </li>
     8614<li> Navaz, Abdul </li>
     8615<li> Nayak, Ankur </li>
     8616<li> Naylor, David </li>
     8617<li> Nejabati, R. </li>
     8618<li> Nelson, Jude </li>
     8619<li> Nelson, Sam </li>
     8620<li> Nishinaga, Nozomu </li>
     8621<li> Nishioka, Itaru </li>
     8622<li> Nozaki, Yoshihiro </li>
     8623<li> Nutaro, J. </li>
     8624<li> O'Connell, Patrick </li>
     8625<li> O'Neil, Thomas </li>
     8626<li> O'Neill, Derek </li>
     8627<li> Ochs, David S. </li>
     8628<li> Ogan, Kemafor </li>
     8629<li> Okamoto, S. </li>
     8630<li> Oraibi, Z. </li>
     8631<li> Orlikowski, Victor (Orlikowski, V.) </li>
     8632<li> Otsuki, Hideaki </li>
     8633<li> Ott, Maximilian (Ott, Max) </li>
     8634<li> Ovon, Carol </li>
     8635<li> O&#776;zc&#807;elik, I&#775;lker (Ozcelik, I., Ozcelik, Ilker) </li>
     8636<li> Padala, P. </li>
     8637<li> Palaniappan, K. </li>
     8638<li> Palusa, Saichand </li>
     8639<li> Pan, Jianli </li>
     8640<li> Pan, Yin </li>
     8641<li> Panwar, Shivendra S. (Panwar, Shivendra) </li>
     8642<li> Papagianni, Chrysa </li>
     8643<li> Pareit, Daan </li>
     8644<li> Park, Jin-Hyung </li>
     8645<li> Parmentelat, Thierry </li>
     8646<li> Parulkar, Guru (Parulkar, G.) </li>
     8647<li> Patali, Rohit (Patali, R.) </li>
     8648<li> Paul, Subharthi </li>
     8649<li> Peha, Jon </li>
     8650<li> Pelapur, R. </li>
     8651<li> Peng, Wei-Ren </li>
     8652<li> Pentikousis, Kostas </li>
     8653<li> Perrig, Adrian </li>
     8654<li> Peter, Simon </li>
     8655<li> Peterson, Larry </li>
     8656<li> Porter, Joseph </li>
     8657<li> Prakash, Aditya </li>
     8658<li> Proietti, Roberto </li>
     8659<li> Puype, B. </li>
     8660<li> Qian, Shi </li>
     8661<li> Qiao, Chunming </li>
     8662<li> Qin, Z. </li>
     8663<li> Qiu, Chenxi </li>
     8664<li> Quan, John </li>
     8665<li> Rafetseder, A. </li>
     8666<li> Rahimi, Reza </li>
     8667<li> Rahman, Mohammed Y. </li>
     8668<li> Rajagopalan, Sudharsan (Rajagopalan, S.) </li>
     8669<li> Rajasekar, A. </li>
     8670<li> Rakotoarivelo, Thierry </li>
     8671<li> Rama Akula, Amit K. </li>
     8672<li> Ramachandran, Anirudh </li>
     8673<li> Ramakrishnan, K. K. </li>
     8674<li> Ramamurthy, Byrav </li>
     8675<li> Ramanath, Rajiv </li>
     8676<li> Ramanathan, Jay </li>
     8677<li> Ramanathan, Parmesh (Ramanathan, P.) </li>
     8678<li> Ramisetty, Shravya </li>
     8679<li> Ramnath, Rajiv (Ramnath, R.) </li>
     8680<li> Randall, David P. </li>
     8681<li> Rao, Sanjay </li>
     8682<li> Ravi, Abhiram </li>
     8683<li> Ravi, Bharath </li>
     8684<li> Raychaudhuri, Dipankar (Raychaudhuri, D.) </li>
     8685<li> Reali, Gianluca (Reali, G.) </li>
     8686<li> Rechia, Felipe </li>
     8687<li> Reed, Jeremy (Reed, J.) </li>
     8688<li> Reed, Martin </li>
     8689<li> Renci, Chris H. </li>
     8690<li> Reuther, Bernd </li>
     8691<li> Rexford, Jennifer </li>
     8692<li> Ricart, Glenn </li>
     8693<li> Ricci, Robert (Ricci, R., Ricci, Rob) </li>
     8694<li> Riga, Niky </li>
     8695<li> Risdianto, Aris C. </li>
     8696<li> Rivera, Sergio (Rivera) </li>
     8697<li> Rizk, Amr </li>
     8698<li> Rogers, Tamara </li>
     8699<li> Rohrer, Justin P. (Rohrer, J. P.) </li>
     8700<li> Rong, Rong </li>
     8701<li> Rosario, Rossi </li>
     8702<li> Rosen, Aaron </li>
     8703<li> Rothe, T. </li>
     8704<li> Rouskas, George N. (Rouskas, George) </li>
     8705<li> Ro&#776;der, Marko (Roder, Marko) </li>
     8706<li> Ruth, Paul (Ruth, P.) </li>
     8707<li> Rynge, Mats (Rynge, M.) </li>
     8708<li> Sachdeva, Monika </li>
     8709<li> Salah, Khaled </li>
     8710<li> Saleh, Saad </li>
     8711<li> Salsano, S. </li>
     8712<li> Salvadori, E. </li>
     8713<li> Sampathkumar, S. </li>
     8714<li> Sathyaraja, Anandatirtha </li>
     8715<li> Schaff, Nathan </li>
     8716<li> Schapira, Michael </li>
     8717<li> Schlinker, Brandon </li>
     8718<li> Schulz, N. </li>
     8719<li> Schulzrinne, Henning (Schulzrinne, H.) </li>
     8720<li> Schumm, Phillip </li>
     8721<li> Schwab, Stephen </li>
     8722<li> Schwerdel, Dennis </li>
     8723<li> Scoglio, Caterina M. (Scoglio, C., Scoglio, Caterina) </li>
     8724<li> Scott, Colin </li>
     8725<li> Seetharam, Sripriya (Seetharam, S.) </li>
     8726<li> Seetharaman, G. </li>
     8727<li> Seetharaman, Srini </li>
     8728<li> Segebre, Roberto </li>
     8729<li> Seghbroeck, Gregory V. </li>
     8730<li> Selvadhurai, Arunprasaath (Selvadhurai, A., Selvadhurai, Arunprasath) </li>
     8731<li> Seok, Woojin </li>
     8732<li> Seshan, Srinivasan </li>
     8733<li> Seskar, Ivan (Seskar, I.) </li>
     8734<li> Sevinc, Soner </li>
     8735<li> Shahbaz, Muhammad </li>
     8736<li> Shamim, Sumaira </li>
     8737<li> Shankaranarayanan, P. N. </li>
     8738<li> Sharma, Deepti </li>
     8739<li> Sharma, Navin </li>
     8740<li> Sharma, Puneet </li>
     8741<li> Sharma, Sachin (Sharma, S.) </li>
     8742<li> Shen, Haiying </li>
     8743<li> Shenker, Scott </li>
     8744<li> Shenoy, Nirmala </li>
     8745<li> Shenoy, Prashant </li>
     8746<li> Sher-DeCusatis, Carolyn J. </li>
     8747<li> Shetty, Sachin (Shetty, S.) </li>
     8748<li> Shi, Xiaomeng </li>
     8749<li> Shimojo, Shinji </li>
     8750<li> Shin, Sunae </li>
     8751<li> Short-Gershman, J. </li>
     8752<li> Simeonidou, D. </li>
     8753<li> Singh, P. </li>
     8754<li> Singhal, Manav </li>
     8755<li> Sirbu, Marvin </li>
     8756<li> Sivakumar, Ashiwan </li>
     8757<li> Sivalingam, KrishnaM </li>
     8758<li> Skubic, Marjorie </li>
     8759<li> Slezak, Joseph </li>
     8760<li> Smeliansky, R. </li>
     8761<li> Smith, F. Donelson </li>
     8762<li> Snoeren, Alex C. (Snoeren, Alex) </li>
     8763<li> Sommers, Joel </li>
     8764<li> Song, Guanghua </li>
     8765<li> Song, Sejun </li>
     8766<li> Soroush, Hamed </li>
     8767<li> Sridharan, Mukundan (Sridharan, M.) </li>
     8768<li> Srinivasan, Suman </li>
     8769<li> Stabler, Greg </li>
     8770<li> Stanton, Michael </li>
     8771<li> Stavropoulos, Donatos </li>
     8772<li> Steele, Aaron </li>
     8773<li> Steenkiste, Peter </li>
     8774<li> Stege, Ulrike </li>
     8775<li> Sterbenz, James P. G. (Sterbenz, J. P. G.) </li>
     8776<li> Stoller, Leigh (Stoller, L.) </li>
     8777<li> Strum, Matt </li>
     8778<li> Stuart, Colleen </li>
     8779<li> Summerhill, Rick </li>
     8780<li> Sun, Guobao </li>
     8781<li> Sun, Peng </li>
     8782<li> Sun&#771;e&#769;, M. </li>
     8783<li> Suzuki, Masatoshi </li>
     8784<li> Swany, Martin </li>
     8785<li> Sydney, Ali (Sydney, A.) </li>
     8786<li> Syrotiuk, V. R. </li>
     8787<li> Takahashi, H. </li>
     8788<li> Tamarapalli, Venkatesh </li>
     8789<li> Tan, Chiu C. </li>
     8790<li> Tang, Ao </li>
     8791<li> Tarui, Toshiaki </li>
     8792<li> Tassiulas, Leandros </li>
     8793<li> Team, The Emulab </li>
     8794<li> Teerapittayanon, Surat </li>
     8795<li> Teixeira, Thiago </li>
     8796<li> Thomas, Charles </li>
     8797<li> Thomas, Vicraj </li>
     8798<li> Tiako, Pierre F. </li>
     8799<li> Tilson, Jeff </li>
     8800<li> Topilski, Nikolay </li>
     8801<li> Toseef, Umar </li>
     8802<li> Tran-Gia, Phouc </li>
     8803<li> Tranoris, Christos </li>
     8804<li> Tredger, Stephen (Tredger, S.) </li>
     8805<li> Tsai, Pang-Wei </li>
     8806<li> Tsuritani, Takehiro </li>
     8807<li> Tuncer, Hasan </li>
     8808<li> Turck, Filip D. </li>
     8809<li> Turi, Leo </li>
     8810<li> Turner, Jonathan S. (Turner, Jonathan) </li>
     8811<li> Turro, Nicolas </li>
     8812<li> Tuttle, Christopher </li>
     8813<li> Udechukwu, Robinson </li>
     8814<li> Ujcich, Benjamin E. </li>
     8815<li> Vahdat, Amin </li>
     8816<li> Valancius, Vytautas </li>
     8817<li> van der Pol, Ronald </li>
     8818<li> van Reijendam, Johan </li>
     8819<li> Van Vorst, Nathanael (Van Vorst, N.) </li>
     8820<li> Vanbever, Laurent </li>
     8821<li> Vanhove, Thomas </li>
     8822<li> Veeraraghavan, Malathi (Veeraraghavan, M.) </li>
     8823<li> Velayos, Celia </li>
     8824<li> Velusam, Gandhimathi </li>
     8825<li> Velusamy, Gandhimathi (Velusamy, G.) </li>
     8826<li> Venkataraman, Aishwarya (Venkataraman, A.) </li>
     8827<li> Venkataramani, Arun </li>
     8828<li> Vermeulen, Brecht </li>
     8829<li> Vete, D. </li>
     8830<li> Vico Oton, Albert </li>
     8831<li> Vulimiri, Ashish </li>
     8832<li> Wallace, Scott A. </li>
     8833<li> Wang, Bing </li>
     8834<li> Wang, Cong </li>
     8835<li> Wang, Gicheol </li>
     8836<li> Wang, Han </li>
     8837<li> Wang, Kuang-Ching (Wang, K. C.) </li>
     8838<li> Wang, Qing </li>
     8839<li> Wang, Xiong </li>
     8840<li> Wang, Yuefeng </li>
     8841<li> Wang, Yuehua </li>
     8842<li> Watts, Nicki </li>
     8843<li> Wauters, Tim </li>
     8844<li> Weatherspoon, Hakim </li>
     8845<li> Webb, Kirk </li>
     8846<li> Weissmann, Paul </li>
     8847<li> wen Cheng, Pei </li>
     8848<li> Williams, James </li>
     8849<li> Willner, Alexander </li>
     8850<li> Wilson, Michael </li>
     8851<li> Winburn, Steven </li>
     8852<li> Wiseman, Charles </li>
     8853<li> Woesner, H. </li>
     8854<li> Wolf, Tilman (Wolf, T.) </li>
     8855<li> Wong, Gary (Wong, G.) </li>
     8856<li> Woos, Doug </li>
     8857<li> Wroclawski, John </li>
     8858<li> Wu, Xiongqi </li>
     8859<li> Xiao, Yang </li>
     8860<li> Xiao, Zhifeng </li>
     8861<li> Xin, Yufeng </li>
     8862<li> Xing, Tianyi </li>
     8863<li> Xiong, Kaiqi </li>
     8864<li> Xiong, X. </li>
     8865<li> Xu, Dongyan </li>
     8866<li> Xu, Gang </li>
     8867<li> Xu, Hao </li>
     8868<li> Xu, Ke </li>
     8869<li> Xu, Le </li>
     8870<li> Xu, Qingrong </li>
     8871<li> Xu, Yingxiao </li>
     8872<li> Yamada, Kazuhisa </li>
     8873<li> Yamanaka, N. </li>
     8874<li> Yang, Chu-Sing </li>
     8875<li> Yang, Fan </li>
     8876<li> Yang, Jianjun </li>
     8877<li> Yang, Xiaowei </li>
     8878<li> Yavanamanda, Adithya </li>
     8879<li> Yeh, Fei (Yeh, F.) </li>
     8880<li> Yi, Ping </li>
     8881<li> Yiakoumis, Y. </li>
     8882<li> Yoo, S. J. B. </li>
     8883<li> You, Junling </li>
     8884<li> Youssef, Mina </li>
     8885<li> Yu, Lu </li>
     8886<li> Yu, Ze </li>
     8887<li> Yuen, Marco </li>
     8888<li> Yumerefendi, Aydan (Yumerefendi, A.) </li>
     8889<li> Zar, David </li>
     8890<li> Zarchy, Doron </li>
     8891<li> Zarifis, Kyriakos </li>
     8892<li> Zeng, Wenjie </li>
     8893<li> Zhang, Haibo </li>
     8894<li> Zhang, Hongwei </li>
     8895<li> Zhang, Miao </li>
     8896<li> Zhang, Qiao </li>
     8897<li> Zhang, Yanyong (Zhang, Y. Y., Zhang, Yihua) </li>
     8898<li> Zhang, Zhi-Li </li>
     8899<li> Zhao, Shuai </li>
     8900<li> Zhou, Dong </li>
     8901<li> Zhou, Wenxuan </li>
     8902<li> Zhu, Kunpeng </li>
     8903<li> Zhu, Zuqing </li>
     8904<li> Zhuang, Yanyan </li>
     8905<li> Zink, Michael (Zink, M., Zink, Mike) </li>
     8906<li> Zinner, Thomas </li>
     8907<li> Zussman, G. </li>
     8908</ol>
    81628909<!-- End HTML to be inserted into wiki page. -->
     8910
    81638911}}}