Changes between Version 33 and Version 34 of GENIBibliography


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Timestamp:
11/06/15 14:04:30 (6 years ago)
Author:
Mark Berman
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  • GENIBibliography

    v33 v34  
    11601160<li>
    11611161<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    1162 , &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot;
    1163 First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    1164 2012.
    1165 
    1166 
    1167 <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.
    1168 </li>
    1169 <br>
    1170 
    1171 <li>
    1172 <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    11731162, &quot;Network capabilities of cloud services for a real time scientific application.&quot;
    1174116337th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE,
     
    11801169<br>
    11811170
     1171<li>
     1172<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
     1173, &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot;
     1174First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
     11752012.
     1176
     1177
     1178<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.
     1179</li>
     1180<br>
     1181
    11821182
    11831183
     
    29582958<li>
    29592959<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
     2960, &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot;
     2961Teletraffic Congress (ITC), 2014 26th International, IEEE,
     29622014.
     2963doi:10.1109/itc.2014.6932973.
     2964<a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a>
     2965<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.
     2966</li>
     2967<br>
     2968
     2969<li>
     2970<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    29602971, &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot;
    29612972Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
     
    29642975<a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a>
    29652976<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>
    2970 <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    2971 , &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot;
    2972 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    2973 2014.
    2974 doi:10.1109/itc.2014.6932973.
    2975 <a href="http://dx.doi.org/10.1109/itc.2014.6932973">http://dx.doi.org/10.1109/itc.2014.6932973</a>
    2976 <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.
    29772977</li>
    29782978<br>
     
    30893089
    30903090<li>
     3091<b>Bhojwani, Sushil</b>
     3092, &quot;Interoperability in Federated Clouds.&quot;
     3093
     30942015.
     3095
     3096<a href="http://hdl.handle.net/1828/6732">http://hdl.handle.net/1828/6732</a>
     3097<br><br><b>Abstract: </b>Cloud Computing is the new trend in sharing resources, sharing and managing data and performing computations on a shared resource via the Internet. However, with the constant increase in demand, these resources are insufficient. So users often use another network in conjunction with the current one. All these networks accomplish the goal of providing the user with a virtual or physical machine. However, to achieve the result, virtual machine users have to maintain multitude credentials and follow a different process for each network. In this thesis, we focus on SAGEFed, a product that enables a user to use the same credentials and commands to reserve the resources on two different federated clouds, i.e., SAVI and GENI. As a part of SAGEFed, the user can acquire or reserve resources on the clouds with the same API. The same service also manages the credentials, so they do not have to manage different credentials while acquiring resources. Furthermore, SAGEFed demonstrates that any cloud that has some form of client tool can be easily integrated.
     3098</li>
     3099<br>
     3100
     3101
     3102
     3103<li>
    30913104<b>Chen, Xinming and Wolf, Tilman and Griffioen, Jim and Ascigil, Onur and Dutta, Rudra and Rouskas, George and Bhat, Shireesh and Baldin, Ilya and Calvert, Ken</b>
    30923105, &quot;Design of a protocol to enable economic transactions for network services.&quot;
     
    31803193
    31813194<li>
     3195<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
     3196, &quot;SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP.&quot;
     3197Communication Workshop (ICCW), 2015 IEEE International Conference on, IEEE,
     31982015.
     3199doi:10.1109/iccw.2015.7247436.
     3200<a href="http://dx.doi.org/10.1109/iccw.2015.7247436">http://dx.doi.org/10.1109/iccw.2015.7247436</a>
     3201<br><br><b>Abstract: </b>Dynamic adaptive HTTP (DASH) based streaming is steadily becoming the most popular online video streaming technique. DASH streaming provides seamless playback by adapting the video quality to the network conditions during the video playback. A DASH server supports adaptive streaming by hosting multiple representations of the video and each representation is divided into small segments of equal playback duration. At the client end, the video player uses an adaptive bitrate selection (ABR) algorithm to decide the bitrate to be selected for each segment depending on the current network conditions. Currently, proposed ABR algorithms ignore the fact that the segment sizes significantly vary for a given video bitrate. Due to this, even though an ABR algorithm is able to measure the network bandwidth, it may fail to predict the time to download the next segment In this paper, we propose a segment-aware rate adaptation (SARA) algorithm that considers the segment size variation in addition to the estimated path bandwidth and the current buffer occupancy to accurately predict the time required to download the next segment We also developed an open source Python based emulated DASH video player, that was used to compare the performance of SARA and a basic ABR. Our results show that SARA provides a significant gain over the basic algorithm in the video quality delivered, without noticeably impacting the video switching rates.
     3202</li>
     3203<br>
     3204
     3205
     3206
     3207<li>
     3208<b>Kanada, Yasusi and Tarui, Toshiaki</b>
     3209, &quot;Federation-less federation of ProtoGENI and VNode platforms.&quot;
     3210Information Networking (ICOIN), 2015 International Conference on, IEEE,
     32112015.
     3212doi:10.1109/icoin.2015.7057895.
     3213<a href="http://dx.doi.org/10.1109/icoin.2015.7057895">http://dx.doi.org/10.1109/icoin.2015.7057895</a>
     3214<br><br><b>Abstract: </b>Our previous work enabled ” federation-less federation”, which means a federation of multiple network-virtualization platforms that do not support federation functions, and applied this method to a homogeneous federation of platforms called the ” VNode” infrastructures. In this study, this method was applied to a heterogeneous federation of the ProtoGENI and the ” VNode”. We intended to federate these platforms through a single management interface. However, the federation architecture of GENI, which is called the slice-based federation architecture (SFA), cannot be used for single-interface federation but we could not modify the ProtoGENI platform to enable it. Therefore, a method for applying federation-less-federation to ProtoGENI was developed. It enabled federation of these platforms by adding several nodes but without modifying preexisting platforms. This method was applied to federation of the ProtoGENI platform at the University of Utah and two VNode infrastructures in Japan, the slice creation and deletion time was measured and evaluated to be acceptable. Although this federation-less-federation implementation still has several minor problems, it was proved to be useful for experiments and demonstrations.
     3215</li>
     3216<br>
     3217
     3218
     3219
     3220<li>
    31823221<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>
    31833222, &quot;Dynamic OpenFlow-Based Lightpath Restoration in Elastic Optical Networks on the GENI Testbed.&quot;
     
    32453284
    32463285<li>
     3286<b>Ramisetty, Shravya and Calyam, Prasad and Cecil, J. and Akula, Amit R. and Antequera, Ronny B. and Leto, Ray</b>
     3287, &quot;Ontology integration for advanced manufacturing collaboration in cloud platforms.&quot;
     3288Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, IEEE,
     32892015.
     3290doi:10.1109/inm.2015.7140329.
     3291<a href="http://dx.doi.org/10.1109/inm.2015.7140329">http://dx.doi.org/10.1109/inm.2015.7140329</a>
     3292<br><br><b>Abstract: </b>Advances in the field of cloud computing and networking have led to rapid development and market growth in areas such as online retail, gaming and healthcare. In the field of advanced manufacturing however, the impact has been significantly lesser than expected due to limitations in cloud platforms for fostering community engagement. To address this problem, we study a new cloud-based architecture that provides Platform-asa-Service (PaaS) management capabilities to the manufacturing community for delivering Software-as-a-Service (SaaS) ” Apps” to their customers. Our architecture aims at supporting an ” App Marketplace” that thrives on agile development, organic collaboration and scalable sales of next generation manufacturing Apps requiring high-performance simulation and modeling. Towards realizing the vision of the above architecture, our paper involves investigation and implementation of an Ontology Service that interoperates with other common web services related to resource brokering and accounting. Our Ontology Service uses principles of mapping and merging to translate a manufacturing App's collaboration requirements to suitable resource specifications on public cloud platforms. Integrated resultant ontology can be queried to provision the required resource parameters such as amount of memory/storage, number of processing units, and network protocol configurations needed for deployment of an App. We validate the effectiveness of our Ontology Service using the Protégé framework in a pilot testbed of a real-world ” WheelSim” App in the NSF GENI Cloud platform. Our ontology integration results show benefits to an App developer in terms of: optimal user experience, lower design time and lower cost/simulation.
     3293</li>
     3294<br>
     3295
     3296
     3297
     3298<li>
    32473299<b>Randall, David P. and Diamant, E. Ilana and Lee, Charlotte P.</b>
    32483300, &quot;Creating Sustainable Cyberinfrastructures.&quot;
     
    43234375<li>
    43244376<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
     4377, &quot;Network capabilities of cloud services for a real time scientific application.&quot
     437837th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE,
     43792012.
     4380doi:10.1109/lcn.2012.6423665.
     4381</li>
     4382<br>
     4383
     4384<li>
     4385<b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    43254386, &quot;Performance of GENI Cloud Testbeds for Real Time Scientific Application.&quot
    43264387First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles,
    432743882012.
    43284389
    4329 </li>
    4330 <br>
    4331 
    4332 <li>
    4333 <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b>
    4334 , &quot;Network capabilities of cloud services for a real time scientific application.&quot
    4335 37th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE,
    4336 2012.
    4337 doi:10.1109/lcn.2012.6423665.
    43384390</li>
    43394391<br>
     
    58455897<li>
    58465898<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
     5899, &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot
     5900Teletraffic Congress (ITC), 2014 26th International, IEEE,
     59012014.
     5902doi:10.1109/itc.2014.6932973.
     5903</li>
     5904<br>
     5905
     5906<li>
     5907<b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    58475908, &quot;Capacity of Inter-cloud Layer-2 Virtual Networking.&quot
    58485909Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA,
    584959102014.
    58505911doi:10.1145/2627566.2627573.
    5851 </li>
    5852 <br>
    5853 
    5854 <li>
    5855 <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b>
    5856 , &quot;Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service.&quot
    5857 Teletraffic Congress (ITC), 2014 26th International, IEEE,
    5858 2014.
    5859 doi:10.1109/itc.2014.6932973.
    58605912</li>
    58615913<br>
     
    59566008
    59576009<li>
     6010<b>Bhojwani, Sushil</b>
     6011, &quot;Interoperability in Federated Clouds.&quot
     6012
     60132015.
     6014
     6015</li>
     6016<br>
     6017
     6018
     6019
     6020<li>
    59586021<b>Chen, Xinming and Wolf, Tilman and Griffioen, Jim and Ascigil, Onur and Dutta, Rudra and Rouskas, George and Bhat, Shireesh and Baldin, Ilya and Calvert, Ken</b>
    59596022, &quot;Design of a protocol to enable economic transactions for network services.&quot
     
    60336096
    60346097<li>
     6098<b>Juluri, Parikshit and Tamarapalli, Venkatesh and Medhi, Deep</b>
     6099, &quot;SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP.&quot
     6100Communication Workshop (ICCW), 2015 IEEE International Conference on, IEEE,
     61012015.
     6102doi:10.1109/iccw.2015.7247436.
     6103</li>
     6104<br>
     6105
     6106
     6107
     6108<li>
     6109<b>Kanada, Yasusi and Tarui, Toshiaki</b>
     6110, &quot;Federation-less federation of ProtoGENI and VNode platforms.&quot
     6111Information Networking (ICOIN), 2015 International Conference on, IEEE,
     61122015.
     6113doi:10.1109/icoin.2015.7057895.
     6114</li>
     6115<br>
     6116
     6117
     6118
     6119<li>
    60356120<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>
    60366121, &quot;Dynamic OpenFlow-Based Lightpath Restoration in Elastic Optical Networks on the GENI Testbed.&quot
     
    60886173
    60896174<li>
     6175<b>Ramisetty, Shravya and Calyam, Prasad and Cecil, J. and Akula, Amit R. and Antequera, Ronny B. and Leto, Ray</b>
     6176, &quot;Ontology integration for advanced manufacturing collaboration in cloud platforms.&quot
     6177Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, IEEE,
     61782015.
     6179doi:10.1109/inm.2015.7140329.
     6180</li>
     6181<br>
     6182
     6183
     6184
     6185<li>
    60906186<b>Randall, David P. and Diamant, E. Ilana and Lee, Charlotte P.</b>
    60916187, &quot;Creating Sustainable Cyberinfrastructures.&quot