| 416 | | <br><br><b>Abstract: </b>Computer networking researchers often have access to a few dierent network testbeds (Section 1.2) for their experiments. However, those testbeds are limited in resources; contentions for resources are prominent in those testbeds especially when conference deadline is looming. Moreover, services running on those testbeds are subject to seasonal and daily trac spikes from users all round the world. Hence, demand for resources at the testbeds are high. Some researchers can use other testbeds in conjunction with the ones they are using. Even though each of the testbeds may have dierent infrastructures, and characteristics, in the end, what the researchers receive in return is a set of computing resources, either virtual machines or physical machines. Essentially, those testbeds are providing a similar service, but researchers have to manage the credentials for accessing the testbeds manually, and they have to manually request resources from dierent testbeds in order to setup experiments that span across dierent testbeds. This thesis presents GENICloud, a project that enables the federation of testbeds with clouds. Computing and storage resources can be provisioned to researchers and services running on existing testbeds dynamically from an Eucalyptus cloud. As a part of the GENICloud project, the user proxy (Section 3.4) provides a less arduous method for testbeds administrators to federate with other testbeds; the same serviceiv also manages researchers credentials, so they do not have to acquire resources from each testbed individually. The user proxy provides a single interface for researchers to interact with dierent testbeds and clouds and manage their experiments. Furthermore, GENICloud demonstrates that there are, in fact, quite a few architectural similarities between dierent testbeds and even clouds |
| | 416 | <br><br><b>Abstract: </b>Computer networking researchers often have access to a few di |
| | 417 | erent network testbeds (Section 1.2) for their experiments. However, those testbeds are limited in resources; contentions for resources are prominent in those testbeds especially when conference deadline is looming. Moreover, services running on those testbeds are subject to seasonal and daily trac spikes from users all round the world. Hence, demand for resources at the testbeds are high. Some researchers can use other testbeds in conjunction with the ones they are using. Even though each of the testbeds may have di |
| | 418 | erent infrastructures, and characteristics, in the end, what the researchers receive in return is a set of computing resources, either virtual machines or physical machines. Essentially, those testbeds are providing a similar service, but researchers have to manage the credentials for accessing the testbeds manually, and they have to manually request resources from di |
| | 419 | erent testbeds in order to setup experiments that span across di |
| | 420 | erent testbeds. This thesis presents GENICloud, a project that enables the federation of testbeds with clouds. Computing and storage resources can be provisioned to researchers and services running on existing testbeds dynamically from an Eucalyptus cloud. As a part of the GENICloud project, the user proxy (Section 3.4) provides a less arduous method for testbeds administrators to federate with other testbeds; the same serviceiv also manages researchers credentials, so they do not have to acquire resources from each testbed individually. The user proxy provides a single interface for researchers to interact with di |
| | 421 | erent testbeds and clouds and manage their experiments. Furthermore, GENICloud demonstrates that there are, in fact, quite a few architectural similarities between di |
| | 422 | erent testbeds and even clouds |
| | 1910 | <b>Bronzino, Francesco and Han, Chao and Chen, Yang and Nagaraja, Kiran and Yang, Xiaowei and Seskar, Ivan and Raychaudhuri, Dipankar</b> |
| | 1911 | , "In-Network Compute Extensions for Rate-Adaptive Content Delivery in Mobile Networks." |
| | 1912 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 1913 | 2014. |
| | 1914 | doi:10.1109/icnp.2014.81. |
| | 1915 | <a href="http://dx.doi.org/10.1109/icnp.2014.81">http://dx.doi.org/10.1109/icnp.2014.81</a> |
| | 1916 | <br><br><b>Abstract: </b>Traffic from mobile wireless networks has been growing at a fast pace in recent years and is expected to surpass wired traffic very soon. Service providers face significant challenges at such scales including providing seamless mobility, efficient data delivery, security, and provisioning capacity at the wireless edge. In the Mobility First project, we have been exploring clean slate enhancements to the network protocols that can inherently provide support for at-scale mobility and trustworthiness in the Internet. An extensible data plane using pluggable compute-layer services is a key component of this architecture. We believe these extensions can be used to implement in-network services to enhance mobile end-user experience by either off-loading work and/or traffic from mobile devices, or by enabling en-route service-adaptation through context-awareness (e.g., Knowing contemporary access bandwidth). In this work we present details of the architectural support for in-network services within Mobility First, and propose protocol and service-API extensions to flexibly address these pluggable services from end-points. As a demonstrative example, we implement an in network service that does rate adaptation when delivering video streams to mobile devices that experience variable connection quality. We present details of our deployment and evaluation of the non-IP protocols along with compute-layer extensions on the GENI test bed, where we used a set of programmable nodes across 7 distributed sites to configure a Mobility First network with hosts, routers, and in-network compute services. |
| | 1917 | </li> |
| | 1918 | <br> |
| | 1919 | |
| | 1920 | |
| | 1921 | |
| | 1922 | <li> |
| | 1962 | <b>Collings, Jake and Liu, Jun</b> |
| | 1963 | , "An OpenFlow-Based Prototype of SDN-Oriented Stateful Hardware Firewalls." |
| | 1964 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 1965 | 2014. |
| | 1966 | doi:10.1109/icnp.2014.83. |
| | 1967 | <a href="http://dx.doi.org/10.1109/icnp.2014.83">http://dx.doi.org/10.1109/icnp.2014.83</a> |
| | 1968 | <br><br><b>Abstract: </b>This paper describes an Open Flow-based prototype of a SDN-oriented stateful hardware firewall. The prototype of a SDN-oriented stateful hardware firewall includes an Open Flow-enabled switch and a firewall controller. The security rules are specified in the flow table in both the Open Flow-enabled switch and the firewall controller. The firewall controller is in charge of making control decisions on regulating the unidentified traffic flows. A communication channel is needed between a firewall controller and an Open Flow enabled switch. Through this channel, a switch sends to the controller with the information of unidentified flows, and the controller sends to the switch with the control decisions. Constraining this communication overhead is important to the applicability of the prototype because a high communication overhead could disturb the performance evaluation on the operation of a SDN-oriented stateful hardware firewall. |
| | 1969 | </li> |
| | 1970 | <br> |
| | 1971 | |
| | 1972 | |
| | 1973 | |
| | 1974 | <li> |
| | 1988 | <b>Dumba, Braulio and Sun, Guobao and Mekky, Hesham and Zhang, Zhi-Li</b> |
| | 1989 | , "Experience in Implementing &amp; Deploying a Non-IP Routing Protocol VIRO in GENI." |
| | 1990 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 1991 | 2014. |
| | 1992 | doi:10.1109/icnp.2014.85. |
| | 1993 | <a href="http://dx.doi.org/10.1109/icnp.2014.85">http://dx.doi.org/10.1109/icnp.2014.85</a> |
| | 1994 | <br><br><b>Abstract: </b>In this paper, we describe our experience in implementing a non-IP routing protocol - Virtual Id Routing (VIRO) - using the OVS-SDN platform in GENI. As a novel, p̈lug-&amp;-play,̈ routing paradigm for future dynamic networks, VIRO decouples routing/forwarding from addressing by introducing a topology-aware, structured virtual id layer to encode the locations of switches and devices in the physical topology for scalable and resilient routing. Despite its general m̈atch-action ̈forwarding function, the existing OVS-SDN platform is closely tied to the conventional Ethernet/IP/TCP header formats, and cannot be directly used to implement the new VIRO routing/forwarding paradigm. As a result, we repurpose the Ethernet MAC address to represent VIRO virtual id, modify and extend the OVS (both within the user space and the kernel space) to implement the VIRO forwarding functions. We also utilize a set of local POX controllers (one per VIRO switch) to emulate the VIRO distributed control plane and one global POX controller to realize the VIRO (centralized) management plane. We evaluate our prototype implementation through the Mininet emulation and GENI deployment test and discuss some lessons learned using the test-bed. |
| | 1995 | </li> |
| | 1996 | <br> |
| | 1997 | |
| | 1998 | |
| | 1999 | |
| | 2000 | <li> |
| | 2158 | , "Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies." |
| | 2159 | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| | 2160 | 2014. |
| | 2161 | doi:10.1109/itc.2014.6932970. |
| | 2162 | <a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a> |
| | 2163 | <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. |
| | 2164 | </li> |
| | 2165 | <br> |
| | 2166 | |
| | 2167 | <li> |
| | 2168 | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
| 2122 | | <li> |
| 2123 | | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
| 2124 | | , "Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies." |
| 2125 | | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| 2126 | | 2014. |
| 2127 | | doi:10.1109/itc.2014.6932970. |
| 2128 | | <a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a> |
| 2129 | | <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. |
| 2130 | | </li> |
| 2131 | | <br> |
| 2132 | | |
| | 2246 | <b>Navaz, Abdul and Velusam, Gandhimathi and Gurkan, Deniz</b> |
| | 2247 | , "Experiments on Networking of Hadoop." |
| | 2248 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 2249 | 2014. |
| | 2250 | doi:10.1109/icnp.2014.87. |
| | 2251 | <a href="http://dx.doi.org/10.1109/icnp.2014.87">http://dx.doi.org/10.1109/icnp.2014.87</a> |
| | 2252 | <br><br><b>Abstract: </b>Hadoop is a popular application process big data problems in a networked dist computers. Investigations of performance for networking have been of interest with the networking paradigm through on-demand an enforcements. Network usage characterization can further help understand what policy info needed during application use cases. At scale e Hadoop jobs will help facilitate such char report how Hadoop networking usage can be chi experimentation environment using the Environment for Network Innovation). Further distributed switch framework that may help alleviate the fault tolerance schemes in Hadoop application in the forwarding plane. Delay in recovery from failures has been reduced by almost 99\\ through such a distributed switch architecture deployed on the GENT experimentation environment. |
| | 2253 | </li> |
| | 2254 | <br> |
| | 2255 | |
| | 2256 | |
| | 2257 | |
| | 2258 | <li> |
| | 2324 | <b>Ruth, Paul and Mandal, Anirban</b> |
| | 2325 | , "Domain Science Applications on GENI: Presentation and Demo." |
| | 2326 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 2327 | 2014. |
| | 2328 | doi:10.1109/icnp.2014.86. |
| | 2329 | <a href="http://dx.doi.org/10.1109/icnp.2014.86">http://dx.doi.org/10.1109/icnp.2014.86</a> |
| | 2330 | <br><br><b>Abstract: </b>Multi-tenant cloud infrastructures are increasingly used for high-performance and high-throughput domain science applications. In recent years, machine virtualization has come a long way toward supporting domain science applications. Various cloud platforms, such as Open Stack, Cloud Stack, and Amazon EC2 are attracting scientists to these platforms with the promise of customized environments with virtually infinite compute resources. At the same time, research efforts, such as NSF GENI are bringing together cloud computing with advanced network infrastructure provisioning. This paper presents work toward evaluating the use of GENI to support domain science applications. The evaluation involved two different domain science applications deployed on ExoGENI and Insta GENI. The first application is ADCIRC, a storm surge model that uses Message Passing Interface (MPI). The second is Motif network, a genomics application using the Pegasus workflow management system to manage a large data-intensive workflow. |
| | 2331 | </li> |
| | 2332 | <br> |
| | 2333 | |
| | 2334 | |
| | 2335 | |
| | 2336 | <li> |
| | 2454 | <b>Wang, Qing and Xu, Ke and Izard, Ryan and Kribbs, Benton and Porter, Joseph and Wang, Kuang-Ching and Prakash, Aditya and Ramanathan, Parmesh</b> |
| | 2455 | , "GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service." |
| | 2456 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 2457 | 2014. |
| | 2458 | doi:10.1109/icnp.2014.84. |
| | 2459 | <a href="http://dx.doi.org/10.1109/icnp.2014.84">http://dx.doi.org/10.1109/icnp.2014.84</a> |
| | 2460 | <br><br><b>Abstract: </b>This paper introduces GENI Cinema (GC), a system that provides a scalable live video streaming service based on dynamic traffic steering with software defined networking (SDN) and demand driven instantiation of video relay servers in NSF GENI's distributed cloud environments. While the service can be used to relay a multitude of video content, its initial objective is to support live video streaming of educational content such as lectures and seminars among university campuses. Users on any campus would bootstrap video upload or download via a public web portal and, for scalability, have the video delivered seamlessly across the network over one or multiple paths selected and dynamically controlled by GC. The architecture aims to provide a framework for addressing several well-known limitations of video streaming in today's Internet, where little control is available for controlling forwarding paths of on demand live video streams. GC utilizes GENI's distributed cloud servers to host on-demand video servers/relays and its Open Flow SDN to achieve seamless video upload/download and optimization of forwarding paths in the network core. This paper presents the architecture and an early prototype of the basic GC framework, together with some initial performance measurement results. |
| | 2461 | </li> |
| | 2462 | <br> |
| | 2463 | |
| | 2464 | |
| | 2465 | |
| | 2466 | <li> |
| | 2467 | <b>Wang, Yuefeng and Akhtar, Nabeel and Matta, Ibrahim</b> |
| | 2468 | , "Programming Routing Policies for Video Traffic." |
| | 2469 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 2470 | 2014. |
| | 2471 | doi:10.1109/icnp.2014.80. |
| | 2472 | <a href="http://dx.doi.org/10.1109/icnp.2014.80">http://dx.doi.org/10.1109/icnp.2014.80</a> |
| | 2473 | <br><br><b>Abstract: </b>Making the network programmable simplifies network management and enables network innovations. The Recursive Inter Network Architecture (RINA) is our solution to enable network programmability. ProtoRINA is a user-space prototype of RINA and provides users with a framework with common mechanisms so a user can program recursive-networking policies without implementing mechanisms from scratch. In this paper, we focus on how routing policies, which is an important aspect of network management, can be programmed using ProtoRINA, and demonstrate how ProtoRINA can be used to achieve better performance for a video streaming application by instantiating different routing policies over the GENI (Global Environment for Network Innovations) test bed, which provides a large-scale experimental facility for networking research. |
| | 2474 | </li> |
| | 2475 | <br> |
| | 2476 | |
| | 2477 | |
| | 2478 | |
| | 2479 | <li> |
| | 2507 | , "Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service." |
| | 2508 | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| | 2509 | 2014. |
| | 2510 | doi:10.1109/itc.2014.6932973. |
| | 2511 | <a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a> |
| | 2512 | <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. |
| | 2513 | </li> |
| | 2514 | <br> |
| | 2515 | |
| | 2516 | <li> |
| | 2517 | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 2416 | | </li> |
| 2417 | | <br> |
| 2418 | | |
| 2419 | | <li> |
| 2420 | | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 2421 | | , "Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service." |
| 2422 | | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| 2423 | | 2014. |
| 2424 | | doi:10.1109/itc.2014.6932973. |
| 2425 | | <a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a> |
| 2426 | | <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. |
| | 4158 | <b>Bronzino, Francesco and Han, Chao and Chen, Yang and Nagaraja, Kiran and Yang, Xiaowei and Seskar, Ivan and Raychaudhuri, Dipankar</b> |
| | 4159 | , "In-Network Compute Extensions for Rate-Adaptive Content Delivery in Mobile Networks." |
| | 4160 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 4161 | 2014. |
| | 4162 | doi:10.1109/icnp.2014.81. |
| | 4163 | </li> |
| | 4164 | <br> |
| | 4165 | |
| | 4166 | |
| | 4167 | |
| | 4168 | <li> |
| | 4368 | , "Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies." |
| | 4369 | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| | 4370 | 2014. |
| | 4371 | doi:10.1109/itc.2014.6932970. |
| | 4372 | </li> |
| | 4373 | <br> |
| | 4374 | |
| | 4375 | <li> |
| | 4376 | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
| 4242 | | </li> |
| 4243 | | <br> |
| 4244 | | |
| 4245 | | <li> |
| 4246 | | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
| 4247 | | , "Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies." |
| 4248 | | Teletraffic Congress (ITC), 2014 26th International, IEEE, |
| 4249 | | 2014. |
| 4250 | | doi:10.1109/itc.2014.6932970. |
| | 4618 | <b>Wang, Qing and Xu, Ke and Izard, Ryan and Kribbs, Benton and Porter, Joseph and Wang, Kuang-Ching and Prakash, Aditya and Ramanathan, Parmesh</b> |
| | 4619 | , "GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service." |
| | 4620 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 4621 | 2014. |
| | 4622 | doi:10.1109/icnp.2014.84. |
| | 4623 | </li> |
| | 4624 | <br> |
| | 4625 | |
| | 4626 | |
| | 4627 | |
| | 4628 | <li> |
| | 4629 | <b>Wang, Yuefeng and Akhtar, Nabeel and Matta, Ibrahim</b> |
| | 4630 | , "Programming Routing Policies for Video Traffic." |
| | 4631 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 4632 | 2014. |
| | 4633 | doi:10.1109/icnp.2014.80. |
| | 4634 | </li> |
| | 4635 | <br> |
| | 4636 | |
| | 4637 | |
| | 4638 | |
| | 4639 | <li> |
