| 1341 | <b>Rosen, Aaron</b> |
| 1342 | , "Network Service Delivery and Throughput Optimization via Software Defined Networking (Master's Thesis)." |
| 1343 | |
| 1344 | 2012. |
| 1345 | |
| 1346 | <a href="http://tigerprints.clemson.edu/all_theses/1332/">http://tigerprints.clemson.edu/all_theses/1332/</a> |
| 1347 | <br><br><b>Abstract: </b>In today's world, transmitting data across large bandwidth-delay product (BDP) networks requires special configuration on end users' machines in order to be done efficiently. This added level of complexity creates extra cost and is usually overlooked by users unknowledgeable to the issues. This is one example problem which can be ameliorated with the emerging software defined networking (SDN) paradigm. In an SDN, packet forwarding is controlled via software controllers. In an OpenFlow SDN, a controller can control the forwarding, rewriting, and dropping of packets based on their header attributes. The ability to handle packets in customizable ways in software has significant implications for both users and operators of the network. Via SDN, network providers can easily provide services to enhance users' experience of the network. Steroid OpenFlow Service (SOS) is presented as a solution to seamless enhancement of TCP data transfer throughput over large BDP networks without any modification to the software and configurations on users' machines. SOS utilizes OpenFlow to redirect application specific traffic to application specific service agents. SOS uses service agents on both ends of the connection to seamlessly terminate a user's TCP connection, launch a set of parallel TCP connections, and leverage multiple paths when available to maximize throughput. |
| 1348 | </li> |
| 1349 | <br> |
| 1350 | |
| 1351 | |
| 1352 | |
| 1353 | <li> |
| 1969 | <b>Xiao, Zhifeng and Fu, Bo and Xiao, Yang and Chen, C. L. Philip and Liang, Wei</b> |
| 1970 | , "A review of GENI authentication and access control mechanisms." |
| 1971 | International Journal of Security and Networks, |
| 1972 | 2013. |
| 1973 | doi:10.1504/ijsn.2013.055046. |
| 1974 | <a href="http://dx.doi.org/10.1504/ijsn.2013.055046">http://dx.doi.org/10.1504/ijsn.2013.055046</a> |
| 1975 | <br><br><b>Abstract: </b>The purpose of this paper is to investigate the authentication and access control mechanisms for Global Environment Network Innovation (GENI). First, we will deliver an extensive survey of the existing authentication and access control techniques in general. We will then study how authentication and access control policies of GENI projects are implemented and how these mechanisms are integrated into the project control frameworks. Finally, we will summarise the advantages and disadvantages of the authentication and access control methods employed in GENI. We believe that the given review is valuable to those who are interested in the internal design of the current GENI security mechanisms. |
| 1976 | </li> |
| 1977 | <br> |
| 1978 | |
| 1979 | |
| 1980 | |
| 1981 | <li> |
| 2520 | , "Creating environments for innovation: Designing and implementing advanced experimental network research testbeds based on the Global Lambda Integrated Facility and the StarLight Exchange." |
| 2521 | Computer Networks, |
| 2522 | 2014. |
| 2523 | doi:10.1016/j.bjp.2013.12.024. |
| 2524 | <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> |
| 2525 | <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. |
| 2526 | </li> |
| 2527 | <br> |
| 2528 | |
| 2529 | <li> |
| 2530 | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
2503 | | <li> |
2504 | | <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b> |
2505 | | , "Creating environments for innovation: Designing and implementing advanced experimental network research testbeds based on the Global Lambda Integrated Facility and the StarLight Exchange." |
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 | | |
| 3091 | <b>Alaoui, Sara E. and Palusa, Saichand and Ramamurthy, Byrav</b> |
| 3092 | , "The Interplanetary Internet Implemented on the GENI Testbed." |
| 3093 | 2015 IEEE Global Communications Conference (GLOBECOM), IEEE, |
| 3094 | 2015. |
| 3095 | doi:10.1109/glocom.2014.7417313. |
| 3096 | <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&#38;arnumber=7417313&#38;isnumber=7416057">http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&#38;arnumber=7417313&#38;isnumber=7416057</a> |
| 3097 | <br><br><b>Abstract: </b>Interplanetary Internet or Interplanetary Networking 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. In this paper, we implement a layout of the Interplanetary Internet (IPN) with the Interplanetary Overlay Network (ION) software module that uses Contact Graph Routing (CGR). The experiments are then implemented on the Global Environment for Network Innovations (GENI) testbed. Along with realistic contact plans (CP) of the nodes, this network implementation was used to run experiments testing the performance of Delay Tolerant Networking (DTN) with and without cross links between Mars orbiters. The experiments showed that in an Earth-Mars communication network using two Mars orbiters, allowing cross links between the orbiters results in increasing the amount of data transferred by roughly 9.2%. Data sent from Mars Rover to the Earth stations also increases by 35.7% when a third satellite (Mars Express) was added to the network without cross links. Finally, when cross links are allowed across all satellites orbiting Mars and serving as relay nodes between the Earth stations and Mars rover, the communication was enhanced by almost 46%. We conclude that by adding cross links, the performance of the network is enhanced for a better transmission of data from Mars to the Earth, which is very pertinent for the scalability of the network. |
| 3098 | </li> |
| 3099 | <br> |
| 3100 | |
| 3101 | |
| 3102 | |
| 3103 | <li> |
| 3104 | <b>Bashir, Sadia and Ahmed, Nadeem</b> |
| 3105 | , "VirtMonE: Efficient detection of elephant flows in virtualized data centers." |
| 3106 | Telecommunication Networks and Applications Conference (ITNAC), 2015 International, IEEE, |
| 3107 | 2015. |
| 3108 | doi:10.1109/atnac.2015.7366826. |
| 3109 | <a href="http://dx.doi.org/10.1109/atnac.2015.7366826">http://dx.doi.org/10.1109/atnac.2015.7366826</a> |
| 3110 | <br><br><b>Abstract: </b>A modern virtualized data center is highly multifarious environment shared among hundreds of co-located tenants hosting heterogeneous applications. The tenants' virtual machines generate a subset of elephants or mice flows (different in terms of rate, size, duration, and burstiness) based on the type of application they are running. Virtual traffic generated from the tenant's virtual machines traverses the underlay physical fabric in aggregate because of different encapsulation techniques (VXLAN, NVGRE, and STT for example) employed in data center networks thus obfuscating the virtual traffic characteristics. Existing approaches to monitor and/or identify elephant flows either have limited or no visibility into virtual traffic or are associated with high monitoring overhead making it hard to precisely detect and properly engineer elephant flows on the underlay fabric. In this paper, we present VirtMonE, a lightweight detection mechanism aimed at precisely detecting egress elephant flows at Open vSwitch while providing visibility into virtual traffic with least measurement and monitoring overhead at the edge. We conduct simulations on a small GENI testbed to evaluate the performance of the proposed solution for a software-defined multi-tenant virtual network. Our proposed solution is demonstrated to precisely detect the elephant flows from different tenants at the edge, provide visibility into virtual traffic and mitigate the network overhead associated with detection, thus improving the overall performance of the data centre. |
| 3111 | </li> |
| 3112 | <br> |
| 3113 | |
| 3114 | |
| 3115 | |
| 3116 | <li> |
| 3182 | <b>Calyam, Prasad and Mishra, Anup and Antequera, Ronny B. and Chemodanov, Dmitrii and Berryman, Alex and Zhu, Kunpeng and Abbott, Carmen and Skubic, Marjorie</b> |
| 3183 | , "Synchronous Big Data analytics for personalized and remote physical therapy." |
| 3184 | Pervasive and Mobile Computing, |
| 3185 | 2015. |
| 3186 | doi:10.1016/j.pmcj.2015.09.004. |
| 3187 | <a href="http://dx.doi.org/10.1016/j.pmcj.2015.09.004">http://dx.doi.org/10.1016/j.pmcj.2015.09.004</a> |
| 3188 | <br><br><b>Abstract: </b>With gigabit networking becoming economically feasible and widely installed at homes, there are new opportunities to revisit in-home, personalized telehealth services. In this paper, we describe a novel telehealth eldercare service that we developed viz., ” PhysicalTherapy-as-a-Service” (PTaaS) that connects a remote physical therapist at a clinic to a senior at home. The service leverages a high-speed, low-latency network connection through an interactive interface built on top of Microsoft Kinect motion sensing capabilities. The interface that is built using user-centered design principles for wellness coaching exercises is essentially a 'Synchronous Big Data' application due to its: (i) high data-in-motion velocity (i.e., peak data rate is ≈400 Mbps), (ii) considerable variety (i.e., measurements include 3D sensing, network health, user opinion surveys and video clips of RGB, skeletal and depth data), and (iii) large volume (i.e., several GB of measurement data for a simple exercise activity). The successful PTaaS delivery through this interface is dependent on the veracity analytics needed for correlation of the real-time Big Data streams within a session, in order to assess exercise balance of the senior without any bias due to network quality effects. Our experiments with PTaaS in an actual testbed involving senior homes in Kansas City with Google Fiber connections and our university clinic demonstrate the network configuration and time synchronization related challenges in order to perform online analytics. Our findings provide insights on how to: (a) enable suitable resource calibration and perform network troubleshooting for high user experience for both the therapist and the senior, and (b) realize a Big Data architecture for PTaaS and other similar personalized healthcare services to be remotely delivered at a large-scale in a reliable, secure and cost-effective manner. |
| 3189 | </li> |
| 3190 | <br> |
| 3191 | |
| 3192 | |
| 3193 | |
| 3194 | <li> |
| 3209 | , "An SDN-supported collaborative approach for DDoS flooding detection and containment." |
| 3210 | Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE, |
| 3211 | 2015. |
| 3212 | doi:10.1109/milcom.2015.7357519. |
| 3213 | <a href="http://dx.doi.org/10.1109/milcom.2015.7357519">http://dx.doi.org/10.1109/milcom.2015.7357519</a> |
| 3214 | <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. |
| 3215 | </li> |
| 3216 | <br> |
| 3217 | |
| 3218 | <li> |
| 3219 | <b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b> |
3153 | | <li> |
3154 | | <b>Chin, Tommy and Mountrouidou, Xenia and Li, Xiangyang and Xiong, Kaiqi</b> |
3155 | | , "An SDN-supported collaborative approach for DDoS flooding detection and containment." |
3156 | | Military Communications Conference, MILCOM 2015 - 2015 IEEE, IEEE, |
3157 | | 2015. |
3158 | | doi:10.1109/milcom.2015.7357519. |
3159 | | <a href="http://dx.doi.org/10.1109/milcom.2015.7357519">http://dx.doi.org/10.1109/milcom.2015.7357519</a> |
3160 | | <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. |
3161 | | </li> |
3162 | | <br> |
3163 | | |
| 6164 | <b>Alaoui, Sara E. and Palusa, Saichand and Ramamurthy, Byrav</b> |
| 6165 | , "The Interplanetary Internet Implemented on the GENI Testbed." |
| 6166 | 2015 IEEE Global Communications Conference (GLOBECOM), IEEE, |
| 6167 | 2015. |
| 6168 | doi:10.1109/glocom.2014.7417313. |
| 6169 | </li> |
| 6170 | <br> |
| 6171 | |
| 6172 | |
| 6173 | |
| 6174 | <li> |
| 6175 | <b>Bashir, Sadia and Ahmed, Nadeem</b> |
| 6176 | , "VirtMonE: Efficient detection of elephant flows in virtualized data centers." |
| 6177 | Telecommunication Networks and Applications Conference (ITNAC), 2015 International, IEEE, |
| 6178 | 2015. |
| 6179 | doi:10.1109/atnac.2015.7366826. |
| 6180 | </li> |
| 6181 | <br> |
| 6182 | |
| 6183 | |
| 6184 | |
| 6185 | <li> |
| 6241 | <b>Calyam, Prasad and Mishra, Anup and Antequera, Ronny B. and Chemodanov, Dmitrii and Berryman, Alex and Zhu, Kunpeng and Abbott, Carmen and Skubic, Marjorie</b> |
| 6242 | , "Synchronous Big Data analytics for personalized and remote physical therapy." |
| 6243 | Pervasive and Mobile Computing, |
| 6244 | 2015. |
| 6245 | doi:10.1016/j.pmcj.2015.09.004. |
| 6246 | </li> |
| 6247 | <br> |
| 6248 | |
| 6249 | |
| 6250 | |
| 6251 | <li> |