| | 1017 | , "Performance of GENI Cloud Testbeds for Real Time Scientific Application." |
| | 1018 | First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles, |
| | 1019 | 2012. |
| | 1020 | |
| | 1021 | |
| | 1022 | <br><br><b>Abstract: </b>Dedicating high end servers for short-term execution of scientific applications such as weather forecasting wastes resources. Cloud platforms IaaS model seems well suited for applications which are executed on an irregular basis and for short duration. In this paper, we evaluate the performance of research testbed cloud platforms such as GENICloud and ORCA cloud clusters for our real-time scientific application of short-term weather forecasting called Nowcasting. In this paper, we evaluate the network capabilities of these research cloud testbeds for our real-time application of weather forecasting. In addition, we evaluate the computation time of executing Nowcasting on each cloud platform for weather data collected from real weather events. We also evaluate the total time taken to generate and transmit short-term forecast images to end users with live data from our own radar on campus. We also compare the performance of each of these clusters for Nowcasting with commercial cloud services such as Amazon's EC2. The results obtained from our measurement show that cloud testbeds are suitable for real-time application experiments to be carried out on a cloud platform. |
| | 1023 | </li> |
| | 1024 | <br> |
| | 1025 | |
| | 1026 | <li> |
| | 1027 | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| 1026 | | <li> |
| 1027 | | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| 1028 | | , "Performance of GENI Cloud Testbeds for Real Time Scientific Application." |
| 1029 | | First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles, |
| 1030 | | 2012. |
| 1031 | | |
| 1032 | | |
| 1033 | | <br><br><b>Abstract: </b>Dedicating high end servers for short-term execution of scientific applications such as weather forecasting wastes resources. Cloud platforms IaaS model seems well suited for applications which are executed on an irregular basis and for short duration. In this paper, we evaluate the performance of research testbed cloud platforms such as GENICloud and ORCA cloud clusters for our real-time scientific application of short-term weather forecasting called Nowcasting. In this paper, we evaluate the network capabilities of these research cloud testbeds for our real-time application of weather forecasting. In addition, we evaluate the computation time of executing Nowcasting on each cloud platform for weather data collected from real weather events. We also evaluate the total time taken to generate and transmit short-term forecast images to end users with live data from our own radar on campus. We also compare the performance of each of these clusters for Nowcasting with commercial cloud services such as Amazon's EC2. The results obtained from our measurement show that cloud testbeds are suitable for real-time application experiments to be carried out on a cloud platform. |
| 1034 | | </li> |
| 1035 | | <br> |
| 1036 | | |
| 1475 | | 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE, |
| 1476 | | 2013. |
| 1477 | | doi:10.1109/GREE.2013.24. |
| 1478 | | <a href="http://dx.doi.org/10.1109/GREE.2013.24">http://dx.doi.org/10.1109/GREE.2013.24</a> |
| 1479 | | |
| 1480 | | </li> |
| 1481 | | <br> |
| 1482 | | |
| 1483 | | <li> |
| 1484 | | <b>Jin, Ruofan and Wang, Bing</b> |
| 1485 | | , "Malware Detection for Mobile Devices Using Software-Defined Networking." |
| | 1483 | <li> |
| | 1484 | <b>Jin, Ruofan and Wang, Bing</b> |
| | 1485 | , "Malware Detection for Mobile Devices Using Software-Defined Networking." |
| | 1486 | 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE, |
| | 1487 | 2013. |
| | 1488 | doi:10.1109/GREE.2013.24. |
| | 1489 | <a href="http://dx.doi.org/10.1109/GREE.2013.24">http://dx.doi.org/10.1109/GREE.2013.24</a> |
| | 1490 | |
| | 1491 | </li> |
| | 1492 | <br> |
| | 1493 | |
| | 1904 | <b>Brown, D. and Ascigil, O. and Nasir, H. and Carpenter, C. and Griffioen, J. and Calvert, K.</b> |
| | 1905 | , "Designing a GENI Experimenter Tool to Support the Choice Net Internet Architecture." |
| | 1906 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 1907 | 2014. |
| | 1908 | doi:10.1109/icnp.2014.88. |
| | 1909 | <a href="http://dx.doi.org/10.1109/icnp.2014.88">http://dx.doi.org/10.1109/icnp.2014.88</a> |
| | 1910 | <br><br><b>Abstract: </b>Test beds such as GENI provide an ideal environment for experimenting with future internet architectures such as Choice Net. Unlike the narrow waist of the current Internet (IP), Choice Net encourages alternatives and competition at the network layer via an economic plane that allows users to choose and purchase precisely the services they need. In this paper we describe our experiences implementing the Choice Net architecture on GENI. Some features of GENI, such as the ability to program the network layer, to leverage existing protocols and software, to run real applications generating realistic traffic, and the ability to perform long-running experiments made GENI an ideal platform for Choice Net experimentation. However, we found that GENI currently lacks the tools needed to make it easy to use these features. To address this issue, we designed and implemented a GENI Experimenter Tool specifically designed and tailored to perform tasks commonly needed by experimenters such as dynamically configuring nodes, loading and compiling node-specific code, executing Click modules, running commands on sets of nodes, accessing the local file system on nodes, and dynamically logging into nodes. |
| | 1911 | </li> |
| | 1912 | <br> |
| | 1913 | |
| | 1914 | |
| | 1915 | |
| | 1916 | <li> |
| | 2253 | <b>Risdianto, Aris C. and Kim, JongWon</b> |
| | 2254 | , "Prototyping Media Distribution Experiments over OF@TEIN SDN-enabled Testbed." |
| | 2255 | Proceedings of the Asia-Pacific Advanced Network, |
| | 2256 | 2014. |
| | 2257 | doi:10.7125/apan.38.2. |
| | 2258 | <a href="http://dx.doi.org/10.7125/apan.38.2">http://dx.doi.org/10.7125/apan.38.2</a> |
| | 2259 | <br><br><b>Abstract: </b>The lifecycle of service realization experiment is composed of multiple stages, where tasks and responsibilities are well-defined between users and operators. In this paper, we prototype media distribution experiments over an OF@TEIN SDN (Software-Defined Networking)-enabled testbed while paying attention to the automated resource provisioning and experiment execution. |
| | 2260 | </li> |
| | 2261 | <br> |
| | 2262 | |
| | 2263 | |
| | 2264 | |
| | 2265 | <li> |
| 2297 | 2323 | <a href="http://dx.doi.org/10.1016/j.bjp.2013.12.021">http://dx.doi.org/10.1016/j.bjp.2013.12.021</a> |
| 2298 | 2324 | <br><br><b>Abstract: </b>The North American Electric Reliability Corporation (NERC) envisions a smart grid that aggressively explores advance communication network solutions to facilitate real-time monitoring and dynamic control of the bulk electric power system. At the distribution level, the smart grid integrates renewable generation and energy storage mechanisms to improve the reliability of the grid. Furthermore, dynamic pricing and demand management provide customers an avenue to interact with the power system to determine the electricity usage that best satisfies their lifestyle. At the transmission level, efficient communication and a highly automated architecture provide visibility in the power system and as a result, faults are mitigated faster than they can propagate. However, such higher levels of reliability and efficiency rest on the supporting communication infrastructure. To date, utility companies are moving towards Multiprotocol Label Switching (MPLS) because it supports traffic engineering and virtual private networks (VPNs). Furthermore, it provides Quality of Service (QoS) guarantees and fail-over mechanisms in addition to meeting the requirement of non-routability as stipulated by NERC. However, these benefits come at a cost for the infrastructure that supports the full MPLS specification. With this realization and given a two week implementation and deployment window in GENI, we explore the modularity and flexibility provided by the low cost OpenFlow Software Defined Networking (SDN) solution. In particular, we use OpenFlow to provide (1) automatic fail-over mechanisms, (2) a load balancing, and (3) Quality of Service guarantees: all essential mechanisms for smart grid networks. |
| | 4061 | <b>Brown, D. and Ascigil, O. and Nasir, H. and Carpenter, C. and Griffioen, J. and Calvert, K.</b> |
| | 4062 | , "Designing a GENI Experimenter Tool to Support the Choice Net Internet Architecture." |
| | 4063 | Network Protocols (ICNP), 2014 IEEE 22nd International Conference on, IEEE, |
| | 4064 | 2014. |
| | 4065 | doi:10.1109/icnp.2014.88. |
| | 4066 | </li> |
| | 4067 | <br> |
| | 4068 | |
| | 4069 | |
| | 4070 | |
| | 4071 | <li> |
