Changes between Version 34 and Version 35 of GENIBibliography


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Timestamp:
01/06/16 13:45:55 (8 years ago)
Author:
Mark Berman
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  • GENIBibliography

    v34 v35  
    24922492<li>
    24932493<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     2494, &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;
     2495Computer Networks,
     24962014.
     2497doi:10.1016/j.bjp.2013.12.024.
     2498<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>
     2499<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.
     2500</li>
     2501<br>
     2502
     2503<li>
     2504<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    24942505, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
    24952506Teletraffic Congress (ITC), 2014 26th International, IEEE,
     
    25012512<br>
    25022513
    2503 <li>
    2504 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    2505 , &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;
    2506 Computer Networks,
    2507 2014.
    2508 doi:10.1016/j.bjp.2013.12.024.
    2509 <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>
    2510 <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.
    2511 </li>
    2512 <br>
    2513 
    25142514
    25152515
     
    31023102
    31033103<li>
     3104<b>Bhojwani, Sushil and Hemmings, Matt and Ingalls, Dan and Lincke, Jens and Krahn, Robert and Lary, David and McGeer, Rick and Ricart, Glenn and Roder, Marko and Coady, Yvonne and Stege, Ulrike</b>
     3105, &quot;The Ignite Distributed Collaborative Visualization System.&quot;
     3106SIGMETRICS Perform. Eval. Rev., ACM, New York, NY, USA,
     31072015.
     3108doi:10.1145/2847220.2847234.
     3109<a href="http://dx.doi.org/10.1145/2847220.2847234">http://dx.doi.org/10.1145/2847220.2847234</a>
     3110<br><br><b>Abstract: </b>An abstract is not available.
     3111</li>
     3112<br>
     3113
     3114
     3115
     3116<li>
    31043117<b>Chen, Xinming and Wolf, Tilman and Griffioen, Jim and Ascigil, Onur and Dutta, Rudra and Rouskas, George and Bhat, Shireesh and Baldin, Ilya and Calvert, Ken</b>
    31053118, &quot;Design of a protocol to enable economic transactions for network services.&quot;
     
    31163129<li>
    31173130<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
     3131, &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot;
     3132Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
     31332015.
     3134doi:10.1109/milcom.2015.7357519.
     3135<a href="http://dx.doi.org/10.1109/milcom.2015.7357519">http://dx.doi.org/10.1109/milcom.2015.7357519</a>
     3136<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.
     3137</li>
     3138<br>
     3139
     3140<li>
     3141<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    31183142, &quot;Selective Packet Inspection to Detect DoS Flooding Using Software Defined Networking (SDN).&quot;
    31193143Distributed Computing Systems Workshops (ICDCSW), 2015 IEEE 35th International Conference on, IEEE,
     
    31543178
    31553179<li>
     3180<b>El Alaoui, Sara</b>
     3181, &quot;Routing Optimization in Interplanetary Networks.&quot;
     3182
     31832015.
     3184
     3185<a href="http://scholar.google.com/scholar&#x005F;url?url=http://digitalcommons.unl.edu/cgi/viewcontent.cgi&#x0025;3Farticle&#x0025;3D1110&#x0025;26context&#x0025;3Dcomputerscidiss&#x0026;&#x0023;38;hl=en&#x0026;&#x0023;38;sa=X&#x0026;&#x0023;38;scisig=AAGBfm3bqGZQbbqEX7SG7r5YDIw5epl3sg&#x0026;&#x0023;38;nossl=1&#x0026;&#x0023;38;oi=scholaralrt">http://scholar.google.com/scholar&#x005F;url?url=http://digitalcommons.unl.edu/cgi/viewcontent.cgi&#x0025;3Farticle&#x0025;3D1110&#x0025;26context&#x0025;3Dcomputerscidiss&#x0026;&#x0023;38;hl=en&#x0026;&#x0023;38;sa=X&#x0026;&#x0023;38;scisig=AAGBfm3bqGZQbbqEX7SG7r5YDIw5epl3sg&#x0026;&#x0023;38;nossl=1&#x0026;&#x0023;38;oi=scholaralrt</a>
     3186<br><br><b>Abstract: </b>Interplanetary Internet or Interplanetary Networking (IPN) is envisaged as a space network which interconnects spacecrafts, satellites, rovers and orbiters of different planets and comets for efficient exchange of scientific data such as telemetry and images. IPNs are classified among challenged networks because of the unpredictable changes in the network and the large varying delays in communication. These net- works are hard to model using static graphs and do not behave optimally when operated using the static networks' standards and techniques. Delay Tolerant Networking (DTN), in its different implementations, is one of the suggested solutions to overcome these networks' challenges. DTN has different routing techniques, among which Contact Graph Routing (CGR) is the more widely used in IPNs. In this thesis, we identify the shortcoming of CGR that results from overlooking the future contacts, and we propose the Earliest Arrival Optimal Delivery Ratio (EAODR) Routing that examines all the paths both with the desired earliest departure time and in the future in order to choose the earliest arrival path from a given node. EAODR finds the route that delivers the exchanged message (a. k. a. bundle) at most at the same time as CGR's route. In order to do that, we propose a Modified Temporal Graph (MTG) model that provides a near-real-time representation of the deterministic dynamic networks. We base EAODR routing algorithm on the MTG model. Our results show that we can reduce the delay by 12.9&#x0025; compared to CGR when we apply our algorithm to over 50 combinations of bundle sizes and transmission times.
     3187</li>
     3188<br>
     3189
     3190
     3191
     3192<li>
    31563193<b>Elliott, Steven D.</b>
    31573194, &quot;Exploring the Challenges and Opportunities of Implementing Software-Defined Networking in a Research Testbed.&quot;
     
    33753412
    33763413<li>
     3414<b>Stavropoulos, Donatos and Dadoukis, Aris and Rakotoarivelo, Thierry and Ott, Max and Korakis, Thanasis and Tassiulas, Leandros</b>
     3415, &quot;Design, architecture and implementation of a resource discovery, reservation and provisioning framework for testbeds.&quot;
     3416Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2015 13th International Symposium on, IEEE,
     34172015.
     3418doi:10.1109/wiopt.2015.7151032.
     3419<a href="http://dx.doi.org/10.1109/wiopt.2015.7151032">http://dx.doi.org/10.1109/wiopt.2015.7151032</a>
     3420<br><br><b>Abstract: </b>Experimental platforms (testbeds) play a significant role in the evaluation of new and existing technologies. Their popularity has been raised lately as more and more researchers prefer experimentation over simulation as a way for acquiring more accurate results. This imposes significant challenges in testbed operators since an efficient mechanism is needed to manage the testbed's resources and provision them according to the users' needs. In this paper we describe such a framework which was implemented for the management of networking testbeds. We present the design requirements and the implementation details, along with the challenges we encountered during its operation in the NITOS testbed. Significant results were extracted through the experiences of the every day operation of the testbed's management.
     3421</li>
     3422<br>
     3423
     3424
     3425
     3426<li>
    33773427<b>Sun, Peng and Vanbever, Laurent and Rexford, Jennifer</b>
    33783428, &quot;Scalable Programmable Inbound Traffic Engineering.&quot;
     
    34083458<a href="http://dx.doi.org/10.1109/icc.2015.7248346">http://dx.doi.org/10.1109/icc.2015.7248346</a>
    34093459<br><br><b>Abstract: </b>The quality of data exchange in cloud computing applications relies on the connection performance between user clients and their cloud storage providers, and is often dependent on the wide area network (WAN) properties among data centers. For certain classes of applications, it can be crucial to provide an end-to-end solution that accelerates large data transfers and improves overall user experience. The development and deployment of WAN optimization technology has been investigated for improving application perfor- mance in heterogeneous, multi-domain environments. WAN opti- mization devices and services implement a number of approaches for performance improvement, and one key insight is that in contrast to traditional end-to-end TCP connections, middleboxes that segment and optimize transport-layer connections can im- prove the performance of wide area data transfers. In the context of dynamic cloud computing environments, there is an obvious target for implementations of WAN optimization as Network Function Virtualization (NFV), where the flexibility of virtualized cloud environments can be exploited. This paper describes recent developments and experimentation of our Phoebus WAN accelerator framework. We introduce a software suite that includes new Phoebus clients that operate with the Phoebus Gateway network. We test and discuss virtualizing Phoebus Gateways to provide acceleration services in cloud data transfers. Use cases and performance evaluations are conducted on FutureGrid and Internet2 testbeds, and we demonstrate the effectiveness of a virtualized Phoebus deployment.
     3460</li>
     3461<br>
     3462
     3463
     3464
     3465<li>
     3466<b>Zhang, Miao and Swany, Martin and Yavanamanda, Adithya and Kissel, Ezra</b>
     3467, &quot;HELM: Conflict-free active measurement scheduling for shared network resource management.&quot;
     3468Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, IEEE,
     34692015.
     3470doi:10.1109/inm.2015.7140283.
     3471<a href="http://dx.doi.org/10.1109/inm.2015.7140283">http://dx.doi.org/10.1109/inm.2015.7140283</a>
     3472<br><br><b>Abstract: </b>Network resource measurement is a key functionality for large scale network management. Intelligent, network-aware applications may benefit from access to detailed representations of network resources, including multi-layer topologies and real-time traffic measurement, and shared resources may obtain better overall utilization by identifying performance bottlenecks. In this study, we describe a network measurement framework, which includes a network topology analysis mechanism as well as agent tools for running active probes and collecting data from end hosts. The system includes a centralized coordinator, which abstracts network elements into annotated network graphs and applies scheduling algorithms to calculate conflict free measurement probes over shared links. Our evaluation integrated perfSONAR services into our framework and included deployment scenarios on research and education networks such as Internet2 and ESnet. The data presented in this study offers compelling evidence that supports a method by which to measure the performance of real world networks.
    34103473</li>
    34113474<br>
     
    55035566<li>
    55045567<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     5568, &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
     5569Computer Networks,
     55702014.
     5571doi:10.1016/j.bjp.2013.12.024.
     5572</li>
     5573<br>
     5574
     5575<li>
     5576<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    55055577, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
    55065578Teletraffic Congress (ITC), 2014 26th International, IEEE,
    550755792014.
    55085580doi:10.1109/itc.2014.6932970.
    5509 </li>
    5510 <br>
    5511 
    5512 <li>
    5513 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    5514 , &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
    5515 Computer Networks,
    5516 2014.
    5517 doi:10.1016/j.bjp.2013.12.024.
    55185581</li>
    55195582<br>
     
    60196082
    60206083<li>
     6084<b>Bhojwani, Sushil and Hemmings, Matt and Ingalls, Dan and Lincke, Jens and Krahn, Robert and Lary, David and McGeer, Rick and Ricart, Glenn and Roder, Marko and Coady, Yvonne and Stege, Ulrike</b>
     6085, &quot;The Ignite Distributed Collaborative Visualization System.&quot
     6086SIGMETRICS Perform. Eval. Rev., ACM, New York, NY, USA,
     60872015.
     6088doi:10.1145/2847220.2847234.
     6089</li>
     6090<br>
     6091
     6092
     6093
     6094<li>
    60216095<b>Chen, Xinming and Wolf, Tilman and Griffioen, Jim and Ascigil, Onur and Dutta, Rudra and Rouskas, George and Bhat, Shireesh and Baldin, Ilya and Calvert, Ken</b>
    60226096, &quot;Design of a protocol to enable economic transactions for network services.&quot
     
    60316105<li>
    60326106<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
     6107, &quot;An SDN-supported collaborative approach for DDoS flooding detection and containment.&quot
     6108Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE,
     61092015.
     6110doi:10.1109/milcom.2015.7357519.
     6111</li>
     6112<br>
     6113
     6114<li>
     6115<b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b>
    60336116, &quot;Selective Packet Inspection to Detect DoS Flooding Using Software Defined Networking (SDN).&quot
    60346117Distributed Computing Systems Workshops (ICDCSW), 2015 IEEE 35th International Conference on, IEEE,
     
    60636146
    60646147<li>
     6148<b>El Alaoui, Sara</b>
     6149, &quot;Routing Optimization in Interplanetary Networks.&quot
     6150
     61512015.
     6152
     6153</li>
     6154<br>
     6155
     6156
     6157
     6158<li>
    60656159<b>Elliott, Steven D.</b>
    60666160, &quot;Exploring the Challenges and Opportunities of Implementing Software-Defined Networking in a Research Testbed.&quot
     
    62506344
    62516345<li>
     6346<b>Stavropoulos, Donatos and Dadoukis, Aris and Rakotoarivelo, Thierry and Ott, Max and Korakis, Thanasis and Tassiulas, Leandros</b>
     6347, &quot;Design, architecture and implementation of a resource discovery, reservation and provisioning framework for testbeds.&quot
     6348Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2015 13th International Symposium on, IEEE,
     63492015.
     6350doi:10.1109/wiopt.2015.7151032.
     6351</li>
     6352<br>
     6353
     6354
     6355
     6356<li>
    62526357<b>Sun, Peng and Vanbever, Laurent and Rexford, Jennifer</b>
    62536358, &quot;Scalable Programmable Inbound Traffic Engineering.&quot
     
    62826387
    62836388
     6389<li>
     6390<b>Zhang, Miao and Swany, Martin and Yavanamanda, Adithya and Kissel, Ezra</b>
     6391, &quot;HELM: Conflict-free active measurement scheduling for shared network resource management.&quot
     6392Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, IEEE,
     63932015.
     6394doi:10.1109/inm.2015.7140283.
     6395</li>
     6396<br>
     6397
     6398
     6399
    62846400</ol>
    62856401