Changes between Version 39 and Version 40 of GENIBibliography


Ignore:
Timestamp:
05/31/16 15:13:52 (5 years ago)
Author:
Mark Berman
Comment:

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  • GENIBibliography

    v39 v40  
    110110
    111111<li>
     112<b>Anan, M. and Ilyes, L. and Ayyash, M. and Alfuqaha, A.</b>
     113, &quot;Cloud-based autonomic service monitoring for Future Internet.&quot;
     1142014 International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE,
     1152014.
     116doi:10.1109/iwcmc.2014.6906333.
     117<a href="http://dx.doi.org/10.1109/iwcmc.2014.6906333">http://dx.doi.org/10.1109/iwcmc.2014.6906333</a>
     118<br><br><b>Abstract: </b>The shortcomings of today's Internet and the high demand for complex and sophisticated applications and services drive a very interesting and novel research area called Future Internet. The area of Future Internet research focuses on developing a new network with similar magnitude as today's Internet but with more demanding and complex design goals and specifications. It strives to solve the issues identified in today's Internet, by capitalizing on the advantages of emerging new technologies in the area of computer networking such as Software Defined Networking (SDN). SDN represents an extraordinary opportunity to rethink computer networks, enabling the design and deployment of a future Internet. This paper focuses on the deployment of a complete system, designed with the new requirements of the Future Internet in mind, and aims to provide, monitor and enhance the popular multimedia streaming service of today's Internet. The testing environment was built in the Global Environment for Network Innovations (GENI). The conducted experiments illustrate how such a system can function under unstable and changing network conditions, dynamically learn its environment, recognize potential service degradation problems, and react to these challenges in an autonomic manner without the need for human intervention.
     119</li>
     120<br>
     121
     122
     123
     124<li>
    112125<b>Angu, Pragatheeswaran and Ramamurthy, Byrav</b>
    113126, &quot;Experiences with dynamic circuit creation in a regional network testbed.&quot;
     
    746759<li>
    747760<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
     761, &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot;
     762Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
     7632015.
     764doi:10.1109/milcom.2015.7357519.
     765<a href="http://dx.doi.org/10.1109/milcom.2015.7357519">http://dx.doi.org/10.1109/milcom.2015.7357519</a>
     766<br><br><b>Abstract: </b>Software Defined Networking (SDN) has the potential to enable novel security applications that support flexible, on-demand deployment of system elements. It can offer targeted forensic evidence collection and investigation of computer network attacks. Such unique capabilities are instrumental to network intrusion detection that is challenged by large volumes of data and complex network topologies. This paper presents an innovative approach that coordinates distributed network traffic Monitors and attack Correlators supported by Open Virtual Switches (OVS). The Monitors conduct anomaly detection and the Correlators perform deep packet inspection for attack signature recognition. These elements take advantage of complementary views and information availability on both the data and control planes. Moreover, they collaboratively look for network flooding attack signature constituents that possess different characteristics in the level of information abstraction. Therefore, this approach is able to not only quickly raise an alert against potential threats, but also follow it up with careful verification to reduce false alarms. We experiment with this SDN-supported collaborative approach to detect TCP SYN flood attacks on the Global Environment for Network Innovations (GENI), a realistic virtual testbed. The response times and detection accuracy, in the context of a small to medium corporate network, have demonstrated its effectiveness and scalability.
     767</li>
     768<br>
     769
     770<li>
     771<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    748772, &quot;Selective Packet Inspection to Detect DoS Flooding Using Software Defined Networking (SDN).&quot;
    749773Distributed Computing Systems Workshops (ICDCSW), 2015 IEEE 35th International Conference on, IEEE,
     
    752776<a href="http://dx.doi.org/10.1109/icdcsw.2015.27">http://dx.doi.org/10.1109/icdcsw.2015.27</a>
    753777<br><br><b>Abstract: </b>Software-defined networking (SDN) and Open Flow have been driving new security applications and services. However, even if some of these studies provide interesting visions of what can be achieved, they stop short of presenting realistic application scenarios and experimental results. In this paper, we discuss a novel attack detection approach that coordinates monitors distributed over a network and controllers centralized on an SDN Open Virtual Switch (OVS), selectively inspecting network packets on demand. With different scale of network views and information availability, these two elements collaboratively detect signature constituents of an attack. Therefore, this approach is able to quickly issue an alert against potential threats followed by careful verification for high accuracy, while balancing the workload on the OVS. We have applied this method for detection and mitigation of TCP SYN flood attacks on Global Environment for Network Innovations (GENI). This realistic experimentation has provided us with insightful findings helpful toward a systematic methodology of SDN-supported attack detection and containment.
    754 </li>
    755 <br>
    756 
    757 <li>
    758 <b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    759 , &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot;
    760 Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
    761 2015.
    762 doi:10.1109/milcom.2015.7357519.
    763 <a href="http://dx.doi.org/10.1109/milcom.2015.7357519">http://dx.doi.org/10.1109/milcom.2015.7357519</a>
    764 <br><br><b>Abstract: </b>Software Defined Networking (SDN) has the potential to enable novel security applications that support flexible, on-demand deployment of system elements. It can offer targeted forensic evidence collection and investigation of computer network attacks. Such unique capabilities are instrumental to network intrusion detection that is challenged by large volumes of data and complex network topologies. This paper presents an innovative approach that coordinates distributed network traffic Monitors and attack Correlators supported by Open Virtual Switches (OVS). The Monitors conduct anomaly detection and the Correlators perform deep packet inspection for attack signature recognition. These elements take advantage of complementary views and information availability on both the data and control planes. Moreover, they collaboratively look for network flooding attack signature constituents that possess different characteristics in the level of information abstraction. Therefore, this approach is able to not only quickly raise an alert against potential threats, but also follow it up with careful verification to reduce false alarms. We experiment with this SDN-supported collaborative approach to detect TCP SYN flood attacks on the Global Environment for Network Innovations (GENI), a realistic virtual testbed. The response times and detection accuracy, in the context of a small to medium corporate network, have demonstrated its effectiveness and scalability.
    765778</li>
    766779<br>
     
    11201133
    11211134<li>
     1135<b>Gargees, R. and Morago, B. and Pelapur, R. and Chemodanov, D. and Calyam, P. and Oraibi, Z. and Duan, Y. and Seetharaman, G. and Palaniappan, K.</b>
     1136, &quot;Incident-Supporting Visual Cloud Computing Utilizing Software-Defined Networking.&quot;
     1137IEEE,
     1138
     1139doi:10.1109/tcsvt.2016.2564898.
     1140<a href="http://dx.doi.org/10.1109/tcsvt.2016.2564898">http://dx.doi.org/10.1109/tcsvt.2016.2564898</a>
     1141<br><br><b>Abstract: </b>In the event of natural or man-made disasters, providing rapid situational awareness through video/image data collected at salient incident scenes is often critical to first responders. However, computer vision techniques that can process the media-rich and data-intensive content obtained from civilian smartphones or surveillance cameras require large amounts of computational resources or ancillary data sources that may not be available at the geographical location of the incident. In this paper, we propose an incident-supporting visual cloud computing solution by defining a collection, computation and consumption (3C) architecture supporting fog computing at the network edge close to the collection/consumption sites, which is coupled with cloud offloading to a core computation, utilizing software defined networking (SDN). We evaluate our 3C architecture and algorithms using realistic virtual environment testbeds. We also describe our insights in preparing the cloud provisioning and thin-client desktop fogs to handle the elasticity and user mobility demands in a theater-scale application. In addition, we demonstrate the use of SDN for on-demand compute offload with congestion-avoiding traffic steering to enhance remote user Quality of Experience (QoE) in a regional-scale application. The optimization between fog computing at the network-edge with core cloud computing for managing visual analytics reduces latency, congestion and increases throughput.
     1142</li>
     1143<br>
     1144
     1145
     1146
     1147<li>
    11221148<b>Gember, Aaron and Dragga, Chris and Akella, Aditya</b>
    11231149, &quot;ECOS: Practical Mobile Application Offloading for Enterprises.&quot;
     
    18711897<li>
    18721898<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     1899, &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;
     1900Computer Networks,
     19012014.
     1902doi:10.1016/j.bjp.2013.12.024.
     1903<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>
     1904<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.
     1905</li>
     1906<br>
     1907
     1908<li>
     1909<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    18731910, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
    18741911Teletraffic Congress (ITC), 2014 26th International, IEEE,
     
    18771914<a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
    18781915<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.
    1879 </li>
    1880 <br>
    1881 
    1882 <li>
    1883 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    1884 , &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;
    1885 Computer Networks,
    1886 2014.
    1887 doi:10.1016/j.bjp.2013.12.024.
    1888 <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>
    1889 <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.
    18901916</li>
    18911917<br>
     
    21812207<li>
    21822208<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    2183 , &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot;
    2184 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    2185 2012.
    2186 
    2187 
    2188 <br><br><b>Abstract: </b>Distributed Denial of Service (DDoS) attacks are major security threats to the Internet. The distributed structure of these attacks makes it difficult to distinguish between legitimate and attack traffic, making detection difficult. In addition to this challenge, researchers also have to study and find countermeasures against these attacks without using an operational network for testing, since attacks on operational networks inconvenience users. In this paper, we propose a method to perform DDoS analysis on real hardware using real traffic without jeopardizing the original network. We implement our experiments on the Geni testbed using Openflow. We present results from DDoS detection methods using operational traffic.
    2189 </li>
    2190 <br>
    2191 
    2192 <li>
    2193 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    21942209, &quot;Operational System Testing for Designed in Security.&quot;
    21952210Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     
    22122227<br>
    22132228
     2229<li>
     2230<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     2231, &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot;
     2232First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     22332012.
     2234
     2235
     2236<br><br><b>Abstract: </b>Distributed Denial of Service (DDoS) attacks are major security threats to the Internet. The distributed structure of these attacks makes it difficult to distinguish between legitimate and attack traffic, making detection difficult. In addition to this challenge, researchers also have to study and find countermeasures against these attacks without using an operational network for testing, since attacks on operational networks inconvenience users. In this paper, we propose a method to perform DDoS analysis on real hardware using real traffic without jeopardizing the original network. We implement our experiments on the Geni testbed using Openflow. We present results from DDoS detection methods using operational traffic.
     2237</li>
     2238<br>
     2239
    22142240
    22152241
     
    30613087<li>
    30623088<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     3089, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
     3090Journal of Simulation,
     30912012.
     3092doi:10.1057/jos.2012.5.
     3093<a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
     3094<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.
     3095</li>
     3096<br>
     3097
     3098<li>
     3099<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    30633100, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot;
    30643101Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
     
    30673104<a href="http://dx.doi.org/10.1109/pads.2011.5936747">http://dx.doi.org/10.1109/pads.2011.5936747</a>
    30683105<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.
    3069 </li>
    3070 <br>
    3071 
    3072 <li>
    3073 <b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    3074 , &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot;
    3075 Journal of Simulation,
    3076 2012.
    3077 doi:10.1057/jos.2012.5.
    3078 <a href="http://dx.doi.org/10.1057/jos.2012.5">http://dx.doi.org/10.1057/jos.2012.5</a>
    3079 <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.
    30803106</li>
    30813107<br>
     
    31753201
    31763202<li>
     3203<b>Wang, Cong and Rizk, Amr and Zink, Michael</b>
     3204, &quot;SQUAD: A Spectrum-based Quality Adaptation for Dynamic Adaptive Streaming over HTTP.&quot;
     3205Proceedings of the 7th International Conference on Multimedia Systems, Klagenfurt, Austria, ACM, New York, NY, USA,
     32062016.
     3207doi:10.1145/2910017.2910593.
     3208<a href="http://dx.doi.org/10.1145/2910017.2910593">http://dx.doi.org/10.1145/2910017.2910593</a>
     3209<br><br><b>Abstract: </b>The application-layer based control loops of dynamic adaptive streaming over HTTP (DASH) make video bitrate selection a complex problem. In this work, we review and present new insights into the challenges of DASH rate adaptation. We identify several critical issues that contribute to the degradation of DASH performance with respect to the rate control loops of DASH and TCP. We then introduce a novel DASH quality adaptation algorithm SQUAD, which is specifically designed to ensure high quality of experience (QoE). We implement and test our algorithm together with a number of state-of-the-art quality adaptation algorithms. Through extensive experiments on both testbed and cross-Atlantic Internet scenarios, we show that by sacrificing little to none in average quality bitrate, SQUAD provides significantly better QoE in terms of number and magnitude of quality switches.
     3210</li>
     3211<br>
     3212
     3213
     3214
     3215<li>
    31773216<b>Wang, Han and Lee, Ki S. and Li, Erluo and Lim, Chiun L. and Tang, Ao and Weatherspoon, Hakim</b>
    31783217, &quot;Timing is Everything: Accurate, Minimum Overhead, Available Bandwidth Estimation in High-speed Wired Networks.&quot;
     
    35993638
    36003639<li>
     3640<b>Anan, M. and Ilyes, L. and Ayyash, M. and Alfuqaha, A.</b>
     3641, &quot;Cloud-based autonomic service monitoring for Future Internet.&quot
     36422014 International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE,
     36432014.
     3644doi:10.1109/iwcmc.2014.6906333.
     3645</li>
     3646<br>
     3647
     3648
     3649
     3650<li>
    36013651<b>Angu, Pragatheeswaran and Ramamurthy, Byrav</b>
    36023652, &quot;Experiences with dynamic circuit creation in a regional network testbed.&quot
     
    41374187<li>
    41384188<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
     4189, &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot
     4190Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
     41912015.
     4192doi:10.1109/milcom.2015.7357519.
     4193</li>
     4194<br>
     4195
     4196<li>
     4197<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    41394198, &quot;Selective Packet Inspection to Detect DoS Flooding Using Software Defined Networking (SDN).&quot
    41404199Distributed Computing Systems Workshops (ICDCSW), 2015 IEEE 35th International Conference on, IEEE,
    414142002015.
    41424201doi:10.1109/icdcsw.2015.27.
    4143 </li>
    4144 <br>
    4145 
    4146 <li>
    4147 <b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    4148 , &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot
    4149 Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
    4150 2015.
    4151 doi:10.1109/milcom.2015.7357519.
    41524202</li>
    41534203<br>
     
    44534503
    44544504<li>
     4505<b>Gargees, R. and Morago, B. and Pelapur, R. and Chemodanov, D. and Calyam, P. and Oraibi, Z. and Duan, Y. and Seetharaman, G. and Palaniappan, K.</b>
     4506, &quot;Incident-Supporting Visual Cloud Computing Utilizing Software-Defined Networking.&quot
     4507IEEE,
     4508
     4509doi:10.1109/tcsvt.2016.2564898.
     4510</li>
     4511<br>
     4512
     4513
     4514
     4515<li>
    44554516<b>Gember, Aaron and Dragga, Chris and Akella, Aditya</b>
    44564517, &quot;ECOS: Practical Mobile Application Offloading for Enterprises.&quot
     
    50885149<li>
    50895150<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     5151, &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
     5152Computer Networks,
     51532014.
     5154doi:10.1016/j.bjp.2013.12.024.
     5155</li>
     5156<br>
     5157
     5158<li>
     5159<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    50905160, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
    50915161Teletraffic Congress (ITC), 2014 26th International, IEEE,
    509251622014.
    50935163doi:10.1109/itc.2014.6932970.
    5094 </li>
    5095 <br>
    5096 
    5097 <li>
    5098 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    5099 , &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
    5100 Computer Networks,
    5101 2014.
    5102 doi:10.1016/j.bjp.2013.12.024.
    51035164</li>
    51045165<br>
     
    53505411<li>
    53515412<b>Ozcelik, Ilker and Brooks, Richard R.</b>
    5352 , &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
    5353 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    5354 2012.
    5355 
    5356 </li>
    5357 <br>
    5358 
    5359 <li>
    5360 <b>Ozcelik, Ilker and Brooks, Richard R.</b>
    53615413, &quot;Operational System Testing for Designed in Security.&quot
    53625414Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop, Oak Ridge, Tennessee, ACM, New York, NY, USA,
     
    53755427<br>
    53765428
     5429<li>
     5430<b>Ozcelik, Ilker and Brooks, Richard R.</b>
     5431, &quot;Performance Analysis of DDoS Detection Methods on Real Network.&quot
     5432First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     54332012.
     5434
     5435</li>
     5436<br>
     5437
    53775438
    53785439
     
    60946155<li>
    60956156<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
     6157, &quot;PrimoGENI for hybrid network simulation and emulation experiments in GENI.&quot
     6158Journal of Simulation,
     61592012.
     6160doi:10.1057/jos.2012.5.
     6161</li>
     6162<br>
     6163
     6164<li>
     6165<b>Van Vorst, N. and Erazo, M. and Liu, J.</b>
    60966166, &quot;PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI.&quot
    60976167Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on, Nice, France, IEEE,
    609861682011.
    60996169doi:10.1109/pads.2011.5936747.
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