Changes between Version 27 and Version 28 of GENIBibliography


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Timestamp:
04/30/15 16:37:17 (4 years ago)
Author:
Mark Berman
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  • GENIBibliography

    v27 v28  
    11081108<li>
    11091109<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
     1110, &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot;
     1111First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     11122012.
     1113
     1114
     1115<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.
     1116</li>
     1117<br>
     1118
     1119<li>
     1120<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    11101121, &quot;Network capabilities of cloud services for a real time scientific application.&quot;
    1111112237th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE,
     
    11171128<br>
    11181129
    1119 <li>
    1120 <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    1121 , &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot;
    1122 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    1123 2012.
    1124 
    1125 
    1126 <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.
    1127 </li>
    1128 <br>
    1129 
    11301130
    11311131
     
    15921592<b>Jin, Ruofan and Wang, Bing</b>
    15931593, &quot;Malware Detection for Mobile Devices Using Software-Defined Networking.&quot;
    1594 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE,
    1595 2013.
    1596 doi:10.1109/GREE.2013.24.
    1597 <a href="http://dx.doi.org/10.1109/GREE.2013.24">http://dx.doi.org/10.1109/GREE.2013.24</a>
    1598 
    1599 </li>
    1600 <br>
    1601 
    1602 <li>
    1603 <b>Jin, Ruofan and Wang, Bing</b>
    1604 , &quot;Malware Detection for Mobile Devices Using Software-Defined Networking.&quot;
    16051594Research and Educational Experiment Workshop (GREE), 2013 Second GENI, IEEE,
    160615952013.
     
    167116602013.
    16721661doi:10.1145/2534695.2534698.
    1673 <a href="http://doi.acm.org/10.1145/2534695.2534698">http://doi.acm.org/10.1145/2534695.2534698</a>
    1674 
    1675 </li>
    1676 <br>
    1677 
    1678 <li>
    1679 <b>Mandal, Anirban and Ruth, Paul and Baldin, Ilya and Xin, Yufeng and Castillo, Claris and Rynge, Mats and Deelman, Ewa</b>
    1680 , &quot;Evaluating I/O Aware Network Management for Scientific Workflows on Networked Clouds.&quot;
    1681 Proceedings of the Third International Workshop on Network-Aware Data Management, Denver, Colorado, ACM, New York, NY, USA,
    1682 2013.
    1683 doi:10.1145/2534695.2534698.
    16841662<a href="http://dx.doi.org/10.1145/2534695.2534698">http://dx.doi.org/10.1145/2534695.2534698</a>
    16851663<br><br><b>Abstract: </b>This paper presents a performance evaluation of scientific workflows on networked cloud systems with particular emphasis on evaluating the effect of provisioned network bandwidth on application I/O performance. The experiments were run on ExoGENI, a widely distributed networked infrastructure as a service (NIaaS) testbed. ExoGENI orchestrates a federation of independent cloud sites located around the world along with backbone circuit providers. The evaluation used a representative data-intensive scientific workflow application called Montage. The application was deployed on a virtualized HTCondor environment provisioned dynamically from the ExoGENI networked cloud testbed, and managed by the Pegasus workflow manager. The results of our experiments show the effect of modifying provisioned network bandwidth on disk I/O throughput and workflow execution time. The marginal benefit as perceived by the workflow reduces as the network bandwidth allocation increases to a point where disk I/O saturates. There is little or no benefit from increasing network bandwidth beyond this inflection point. The results also underline the importance of network and I/O performance isolation for predictable application performance, and are applicable for general data-intensive workloads. Insights from this work will also be useful for real-time monitoring, application steering and infrastructure planning for data-intensive workloads on networked cloud platforms.
     
    24102388<li>
    24112389<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     2390, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
     2391Teletraffic Congress (ITC), 2014 26th International, IEEE,
     23922014.
     2393doi:10.1109/itc.2014.6932970.
     2394<a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
     2395<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.
     2396</li>
     2397<br>
     2398
     2399<li>
     2400<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    24122401, &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;
    24132402Computer Networks,
     
    24162405<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>
    24172406<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.
    2418 </li>
    2419 <br>
    2420 
    2421 <li>
    2422 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    2423 , &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot;
    2424 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    2425 2014.
    2426 doi:10.1109/itc.2014.6932970.
    2427 <a href="http://dx.doi.org/10.1109/itc.2014.6932970">http://dx.doi.org/10.1109/itc.2014.6932970</a>
    2428 <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.
    24292407</li>
    24302408<br>
     
    38983876<li>
    38993877<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
     3878, &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot
     3879First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     38802012.
     3881
     3882</li>
     3883<br>
     3884
     3885<li>
     3886<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    39003887, &quot;Network capabilities of cloud services for a real time scientific application.&quot
    3901388837th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE,
    390238892012.
    39033890doi:10.1109/lcn.2012.6423665.
    3904 </li>
    3905 <br>
    3906 
    3907 <li>
    3908 <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    3909 , &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot
    3910 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    3911 2012.
    3912 
    39133891</li>
    39143892<br>
     
    43084286<b>Jin, Ruofan and Wang, Bing</b>
    43094287, &quot;Malware Detection for Mobile Devices Using Software-Defined Networking.&quot
    4310 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE,
    4311 2013.
    4312 doi:10.1109/GREE.2013.24.
    4313 </li>
    4314 <br>
    4315 
    4316 <li>
    4317 <b>Jin, Ruofan and Wang, Bing</b>
    4318 , &quot;Malware Detection for Mobile Devices Using Software-Defined Networking.&quot
    43194288Research and Educational Experiment Workshop (GREE), 2013 Second GENI, IEEE,
    432042892013.
     
    43784347<br>
    43794348
    4380 <li>
    4381 <b>Mandal, Anirban and Ruth, Paul and Baldin, Ilya and Xin, Yufeng and Castillo, Claris and Rynge, Mats and Deelman, Ewa</b>
    4382 , &quot;Evaluating I/O Aware Network Management for Scientific Workflows on Networked Clouds.&quot
    4383 Proceedings of the Third International Workshop on Network-Aware Data Management, Denver, Colorado, ACM, New York, NY, USA,
    4384 2013.
    4385 doi:10.1145/2534695.2534698.
    4386 </li>
    4387 <br>
    4388 
    43894349
    43904350
     
    50004960<li>
    50014961<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
     4962, &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
     4963Teletraffic Congress (ITC), 2014 26th International, IEEE,
     49642014.
     4965doi:10.1109/itc.2014.6932970.
     4966</li>
     4967<br>
     4968
     4969<li>
     4970<b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    50024971, &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
    50034972Computer Networks,
    500449732014.
    50054974doi:10.1016/j.bjp.2013.12.024.
    5006 </li>
    5007 <br>
    5008 
    5009 <li>
    5010 <b>Mambretti, Joe and Chen, Jim and Yeh, Fei</b>
    5011 , &quot;Software-Defined Network Exchanges (SDXs): Architecture, services, capabilities, and foundation technologies.&quot
    5012 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    5013 2014.
    5014 doi:10.1109/itc.2014.6932970.
    50154975</li>
    50164976<br>