Changes between Version 32 and Version 33 of GENIBibliography


Ignore:
Timestamp:
09/29/15 12:26:10 (9 years ago)
Author:
Mark Berman
Comment:

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  • GENIBibliography

    v32 v33  
    11071107
    11081108<li>
     1109<b>Huang, Shufeng and Griffioen, James and Calvert, Ken</b>
     1110, &quot;PVNs: Making Virtualized Network Infrastructure Usable.&quot;
     1111ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS '12),
     11122012.
     1113doi:10.1145/2396556.2396590.
     1114<a href="http://dx.doi.org/10.1145/2396556.2396590">http://dx.doi.org/10.1145/2396556.2396590</a>
     1115<br><br><b>Abstract: </b>Network virtualization is becoming a fundamental building block of future Internet architectures. Although the underlying network infrastructure needed to dynamically create and deploy custom virtual networks is rapidly taking shape ( e.g., GENI), constructing and using a virtual network is still a challenging and labor intensive task, one best left to experts. In this paper, we present the concept of a Packaged Virtual Network (PVN), that enables normal users to easily download, deploy and use application-specific virtual networks. At the heart of our approach is a PVN Hypervisor that ” runs” a PVN by allocating the virtual network resources needed by the PVN and then connecting the PVN's participants into the network on demand. To demonstrate our PVN approach, we implemented a multicast PVN that runs on the PVN hypervisor prototype using ProtoGENI as the underlying virtual network, allowing average users to create their own private multicast network.
     1116</li>
     1117<br>
     1118
     1119
     1120
     1121<li>
    11091122<b>Katz-Bassett, Ethan and Scott, Colin and Choffnes, David R. and Cunha, &#x49;&#x0301;talo and Valancius, Vytautas and Feamster, Nick and Madhyastha, Harsha V. and Anderson, Thomas and Krishnamurthy, Arvind</b>
    11101123, &quot;LIFEGUARD: Practical Repair of Persistent Route Failures.&quot;
     
    24792492<li>
    24802493<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     2494, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
     2495Teletraffic Congress (ITC), 2014 26th International, IEEE,
     24962014.
     2497doi:10.1109/itc.2014.6932970.
     2498<a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
     2499<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.
     2500</li>
     2501<br>
     2502
     2503<li>
     2504<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    24812505, &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;
    24822506Computer Networks,
     
    24882512<br>
    24892513
    2490 <li>
    2491 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    2492 , &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
    2493 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    2494 2014.
    2495 doi:10.1109/itc.2014.6932970.
    2496 <a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
    2497 <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.
    2498 </li>
    2499 <br>
    2500 
    25012514
    25022515
     
    27752788
    27762789<li>
     2790<b>Singhal, Manav and Ramanathan, Jay and Calyam, Prasad and Skubic, Marjorie</b>
     2791, &quot;In-the-Know: Recommendation Framework for City-Supported Hybrid Cloud Services.&quot;
     2792Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on, IEEE,
     27932014.
     2794doi:10.1109/ucc.2014.22.
     2795<a href="http://dx.doi.org/10.1109/ucc.2014.22">http://dx.doi.org/10.1109/ucc.2014.22</a>
     2796<br><br><b>Abstract: </b>Hybrid cloud architectures are particularly attractive to leverage city-level investments for building customized clouds, and for extending them to leverage public clouds. A successful design of the hybrid cloud architecture should facilitate the provisioning of scalable and secure services suited to a variety of communities such as residential homes and high-tech business incubators. In this paper, we present a novel &#x49;&#x0308;n-the-know&#x20;&#x0308;recommendation framework for provisioning of cloud resources in the form of 'on-demand contracts' to address the challenges in delivering the hybrid service variations for different community and individual needs. Our recommendation framework uses knowledge of the city's socio-economic goals/values as well as user preferences in terms of cost, performance and mobility. Using such knowledge, it recommends dynamic decisions by choosing from various provisioning alternatives in order to: (a) ensure optimal user Quality of Experience (QoE) in service delivery, and (b) effective utilization of hybrid cloud resources. We validate our recommendation framework using service composition experiments to satisfy an exemplar collaboration use case in an actual city-supported hybrid cloud test bed involving citizen consumers.
     2797</li>
     2798<br>
     2799
     2800
     2801
     2802<li>
    27772803<b>Su&#x6e;&#x0303;&#x65;&#x0301;, M. and Bergesio, L. and Woesner, H. and Rothe, T. and K&#x6f;&#x0308;psel, A. and Colle, D. and Puype, B. and Simeonidou, D. and Nejabati, R. and Channegowda, M. and Kind, M. and Dietz, T. and Autenrieth, A. and Kotronis, V. and Salvadori, E. and Salsano, S. and K&#x6f;&#x0308;rner, M. and Sharma, S.</b>
    27782804, &quot;Design and implementation of the OFELIA FP7 facility: The European OpenFlow testbed.&quot;
     
    284528712014.
    28462872doi:10.1145/2663716.2663746.
    2847 <a href="http://fireless.cs.cornell.edu/publications/minprobe&#x005F;imc14.pdf">http://fireless.cs.cornell.edu/publications/minprobe&#x005F;imc14.pdf</a>
     2873<a href="http://dx.doi.org/10.1145/2663716.2663746">http://dx.doi.org/10.1145/2663716.2663746</a>
    28482874<br><br><b>Abstract: </b>Active end-to-end available bandwidth estimation is intrusive, expensive, inaccurate, and does not work well with bursty cross traffic or on high capacity links. Yet, it is important for designing high performant networked systems, improving network protocols, building distributed systems, and improving application performance. In this paper, we present minProbe which addresses unsolved issues that have plagued available bandwidth estimation. As a middlebox, minProbe measures and estimates available bandwidth with high-fidelity, minimal-cost, and in userspace; thus, enabling cheaper (virtually no overhead) and more accurate available bandwidth estimation. MinProbe performs accurately on high capacity networks up to 10 Gbps and with bursty cross traffic. We evaluated the performance and accuracy of minProbe over a wide-area network, the National Lambda Rail (NLR), and within our own network testbed. Results indicate that minProbe can estimate available bandwidth with error typically no more than 0.4 Gbps in a 10 Gbps network.
    28492875</li>
     
    29182944
    29192945<li>
     2946<b>Xin, Yufeng and Baldin, Ilya and Chase, Jeff and Ogan, Kemafor</b>
     2947, &quot;Leveraging Semantic Web Technologies for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment.&quot;
     2948CoRR,
     29492014.
     2950
     2951<a href="http://arxiv.org/abs/1403.0949">http://arxiv.org/abs/1403.0949</a>
     2952
     2953</li>
     2954<br>
     2955
     2956
     2957
     2958<li>
     2959<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
     2960, &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot;
     2961Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
     29622014.
     2963doi:10.1145/2627566.2627573.
     2964<a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a>
     2965<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.
     2966</li>
     2967<br>
     2968
     2969<li>
    29202970<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    29212971, &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot;
     
    29252975<a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a>
    29262976<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.
    2927 </li>
    2928 <br>
    2929 
    2930 <li>
    2931 <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    2932 , &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot;
    2933 Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
    2934 2014.
    2935 doi:10.1145/2627566.2627573.
    2936 <a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a>
    2937 <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.
    29382977</li>
    29392978<br>
     
    30763115
    30773116<li>
     3117<b>Dong, Mo and Li, Qingxi and Zarchy, Doron and Godfrey, P. Brighten and Schapira, Michael</b>
     3118, &quot;PCC: Re-architecting Congestion Control for Consistent High Performance.&quot;
     311912th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15), USENIX Association, Oakland, CA,
     31202015.
     3121
     3122<a href="https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/dong">https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/dong</a>
     3123
     3124</li>
     3125<br>
     3126
     3127
     3128
     3129<li>
    30783130<b>Edwards, Sarah and Liu, Xuan and Riga, Niky</b>
    30793131, &quot;Creating Repeatable Computer Science and Networking Experiments on Shared, Public Testbeds.&quot;
     
    31283180
    31293181<li>
     3182<b>Liu, Lei and Peng, Wei-Ren and Casellas, Ramon and Tsuritani, Takehiro and Morita, Itsuro and Martinez, Ricardo and Munoz, Raul and Suzuki, Masatoshi and Ben Yoo, S. J.</b>
     3183, &quot;Dynamic OpenFlow-Based Lightpath Restoration in Elastic Optical Networks on the GENI Testbed.&quot;
     3184Lightwave Technology, Journal of, IEEE,
     31852015.
     3186doi:10.1109/jlt.2014.2388194.
     3187<a href="http://dx.doi.org/10.1109/jlt.2014.2388194">http://dx.doi.org/10.1109/jlt.2014.2388194</a>
     3188<br><br><b>Abstract: </b>Elastic optical networking (EON), with its flexible use of the optical spectrum, is a promising solution for future metro/core optical networking. For the deployment of EON in a real-operational scenario, the dynamic lightpath restoration, driven by an intelligent control plane, is a necessary network function. Dynamic restoration can restore network services automatically and, thus, greatly reduce the operational cost, compared with traditional manual or semistatic lightpath restoration strategies enabled by network operators via a network management system. To this end, in this paper, we present an OpenFlow-enabled dynamic lightpath restoration in elastic optical networks, detailing the restoration framework and algorithm, the failure isolation mechanism, and the proposed OpenFlow protocol extensions. We quantitatively present the restoration performance via control plane experimental tests on the Global Environment for Network Innovations testbed.
     3189</li>
     3190<br>
     3191
     3192
     3193
     3194<li>
     3195<b>Liu, Lei and Zhu, Zuqing and Wang, Xiong and Song, Guanghua and Chen, Cen and Chen, Xiaoliang and Ma, Shoujiang and Feng, Xiaotao and Proietti, Roberto and Yoo, S. J. B.</b>
     3196, &quot;Field Trial of Broker-based Multi-domain Software-Defined Heterogeneous Wireline-Wireless-Optical Networks.&quot;
     3197Optical Fiber Communication Conference, Los Angeles, California, OSA,
     31982015.
     3199doi:10.1364/ofc.2015.th3j.5.
     3200<a href="http://dx.doi.org/10.1364/ofc.2015.th3j.5">http://dx.doi.org/10.1364/ofc.2015.th3j.5</a>
     3201<br><br><b>Abstract: </b>Driven by a broker-based OpenFlow control plane, we report the first field trial of software-defined heterogeneous wireline-wireless-optical multi-domain networks connecting UC Davis Campus, USTC, California OpenFlow Testbed Network (COTN) and Energy Sciences Network (ESNet).
     3202</li>
     3203<br>
     3204
     3205
     3206
     3207<li>
    31303208<b>Liu, Xuan</b>
    31313209, &quot;Dynamic Virtual Network Restoration with Optimal Standby Virtual Router Selection.&quot;
     
    31803258
    31813259<li>
     3260<b>Ravi, Abhiram and Ramanathan, Parmesh and Sivalingam, KrishnaM</b>
     3261, &quot;Integrated network coding and caching in information-centric networks: revisiting pervasive caching in the ICN framework.&quot;
     3262Photonic Network Communications, Springer US,
     32632015.
     3264doi:10.1007/s11107-015-0557-4.
     3265<a href="http://dx.doi.org/10.1007/s11107-015-0557-4">http://dx.doi.org/10.1007/s11107-015-0557-4</a>
     3266<br><br><b>Abstract: </b>Information-centric networks (ICNs) replace IP addresses with content names at the thin waist of the Internet hourglass, thereby enabling pervasive router-level caching at the network layer. In this paper, we revisit pervasive content caching and propose an algorithm for cache replacement at ICN routers by incorporating principles from network cod- ing, a technique used to achieve maximum flow rates in multicast. By introducing a low computational cost in the system, network-coded caching better utilizes the available small storage space at the routers to cache more effectively in the network. Results of our experiments on the global enterprise for network innovations (GENI) testbed demon- strating the performance of our algorithm on a real network are included in the paper. We evaluate the algorithm in two different traffic scenarios (i) video-on-demand (VoD) (ii) Zipf-based web traffic. Working with the named data networking implementation of ICN, we also present the addi- tional headers and logical components that are needed to enable network-coded caching. In a nutshell, we show that an integrated coding-and-caching strategy can provide sig- nificant gains in latency and content delivery rate for a small computational overhead.
     3267</li>
     3268<br>
     3269
     3270
     3271
     3272<li>
    31823273<b>Ricci, Robert and Wong, Gary and Stoller, Leigh and Webb, Kirk and Duerig, Jonathon and Downie, Keith and Hibler, Mike</b>
    31833274, &quot;Apt: A Platform for Repeatable Research in Computer Science.&quot;
     
    32193310
    32203311<li>
     3312<b>Ruth, Paul and Mandal, Anirban and Castillo, Claris and Fowler, Robert and Tilson, Jeff and Baldin, Ilya and Xin, Yufeng</b>
     3313, &quot;Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms.&quot;
     3314Proceedings of the 6th Workshop on Scientific Cloud Computing, Portland, Oregon, USA, ACM, New York, NY, USA,
     33152015.
     3316doi:10.1145/2755644.2755649.
     3317<a href="http://dx.doi.org/10.1145/2755644.2755649">http://dx.doi.org/10.1145/2755644.2755649</a>
     3318<br><br><b>Abstract: </b>Multi-tenant cloud infrastructures are increasingly used for high-performance and high-throughput domain science applications. Various cloud platforms, such as OpenStack and Amazon EC2, along with research efforts, such as NSF GENI and FutureGrid have attracted scientists to these platforms with the promise of virtually infinite compute resources. This paper presents work toward providing better resource allocation accounting in multi-tenant cloud environments by understanding the subtle interference between network, compute, and storage resources. The experiments provide insight that help cloud administrators know how to best distribute virtual cores to physical cores considering the effect of advanced virtual network technologies on remote block I/O performance. The results show that SR-IOV network interfaces to an SSD iSCSI device can provide extremely fast block I/O with minimal CPU overhead and minimal performance interference between tenants. In addition, careful mapping of virtual computation to physical computational cores is critical to increasing performance isolation.
     3319</li>
     3320<br>
     3321
     3322
     3323
     3324<li>
    32213325<b>Sun, Peng and Vanbever, Laurent and Rexford, Jennifer</b>
    32223326, &quot;Scalable Programmable Inbound Traffic Engineering.&quot;
     
    41744278
    41754279<li>
     4280<b>Huang, Shufeng and Griffioen, James and Calvert, Ken</b>
     4281, &quot;PVNs: Making Virtualized Network Infrastructure Usable.&quot
     4282ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS '12),
     42832012.
     4284doi:10.1145/2396556.2396590.
     4285</li>
     4286<br>
     4287
     4288
     4289
     4290<li>
    41764291<b>Katz-Bassett, Ethan and Scott, Colin and Choffnes, David R. and Cunha, &#x49;&#x0301;talo and Valancius, Vytautas and Feamster, Nick and Madhyastha, Harsha V. and Anderson, Thomas and Krishnamurthy, Arvind</b>
    41774292, &quot;LIFEGUARD: Practical Repair of Persistent Route Failures.&quot
     
    53365451<li>
    53375452<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     5453, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
     5454Teletraffic Congress (ITC), 2014 26th International, IEEE,
     54552014.
     5456doi:10.1109/itc.2014.6932970.
     5457</li>
     5458<br>
     5459
     5460<li>
     5461<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    53385462, &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
    53395463Computer Networks,
    534054642014.
    53415465doi:10.1016/j.bjp.2013.12.024.
    5342 </li>
    5343 <br>
    5344 
    5345 <li>
    5346 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    5347 , &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
    5348 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    5349 2014.
    5350 doi:10.1109/itc.2014.6932970.
    53515466</li>
    53525467<br>
     
    55865701
    55875702<li>
     5703<b>Singhal, Manav and Ramanathan, Jay and Calyam, Prasad and Skubic, Marjorie</b>
     5704, &quot;In-the-Know: Recommendation Framework for City-Supported Hybrid Cloud Services.&quot
     5705Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on, IEEE,
     57062014.
     5707doi:10.1109/ucc.2014.22.
     5708</li>
     5709<br>
     5710
     5711
     5712
     5713<li>
    55885714<b>Su&#x6e;&#x0303;&#x65;&#x0301;, M. and Bergesio, L. and Woesner, H. and Rothe, T. and K&#x6f;&#x0308;psel, A. and Colle, D. and Puype, B. and Simeonidou, D. and Nejabati, R. and Channegowda, M. and Kind, M. and Dietz, T. and Autenrieth, A. and Kotronis, V. and Salvadori, E. and Salsano, S. and K&#x6f;&#x0308;rner, M. and Sharma, S.</b>
    55895715, &quot;Design and implementation of the OFELIA FP7 facility: The European OpenFlow testbed.&quot
     
    57075833
    57085834<li>
     5835<b>Xin, Yufeng and Baldin, Ilya and Chase, Jeff and Ogan, Kemafor</b>
     5836, &quot;Leveraging Semantic Web Technologies for Managing Resources in a Multi-Domain Infrastructure-as-a-Service Environment.&quot
     5837CoRR,
     58382014.
     5839
     5840</li>
     5841<br>
     5842
     5843
     5844
     5845<li>
     5846<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
     5847, &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot
     5848Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
     58492014.
     5850doi:10.1145/2627566.2627573.
     5851</li>
     5852<br>
     5853
     5854<li>
    57095855<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    57105856, &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot
     
    571258582014.
    57135859doi:10.1109/itc.2014.6932973.
    5714 </li>
    5715 <br>
    5716 
    5717 <li>
    5718 <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    5719 , &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot
    5720 Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
    5721 2014.
    5722 doi:10.1145/2627566.2627573.
    57235860</li>
    57245861<br>
     
    58415978
    58425979<li>
     5980<b>Dong, Mo and Li, Qingxi and Zarchy, Doron and Godfrey, P. Brighten and Schapira, Michael</b>
     5981, &quot;PCC: Re-architecting Congestion Control for Consistent High Performance.&quot
     598212th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15), USENIX Association, Oakland, CA,
     59832015.
     5984
     5985</li>
     5986<br>
     5987
     5988
     5989
     5990<li>
    58435991<b>Edwards, Sarah and Liu, Xuan and Riga, Niky</b>
    58445992, &quot;Creating Repeatable Computer Science and Networking Experiments on Shared, Public Testbeds.&quot
     
    58856033
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