Department of Earth Sciences

Defences and Events

• Adhi Susilo PhD Education Thesis Examination
  10:00 AM - 1:00 PM
  May 30, 2013
  No Description
• PhD Defence, Haiyang Wang, Comp Sci
  11:30 AM - 1:30 PM
  May 30, 2013
  Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair
• Haiyang Wang, Phd defence, Comp Sci
  11:30 AM - 1:30 PM
  May 30, 2013
  Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair

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