Sudharshan Vazhkudai

Publications (3)0 Total impact

• Source

  Available from: Adriana Iamnitchi

  Article: Beyond Music Sharing: An Evaluation of Peer-to-Peer Data Dissemination Techniques in Large Scientific Collaborations.

  Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai
  J. Grid Comput. 01/2009; 7:91-114.
• Source

  Available from: Adriana Iamnitchi

  Chapter: Are P2P Data-Dissemination Techniques Viable in Today’s Data-Intensive Scientific Collaborations?

  Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai
  [show abstract] [hide abstract]
  ABSTRACT: The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal data distribution scheme will find the delicate and often application-specific balance among conflicting success metrics such as minimizing transfer times, minimizing the impact on the network, and uniformly distributing load among participants. We use simulations to explore the performance of classes of data-distribution techniques, some of which successfully deployed in large peer-to-peer communities, in the context of today’s data-centric scientific collaborations. Based on these simulations we derive several recommendations for data distribution in real-world science collaborations.
  08/2007: pages 404-414;
• Conference Proceeding: Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?

  Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai
  Euro-Par 2007, Parallel Processing, 13th International Euro-Par Conference, Rennes, France, August 28-31, 2007, Proceedings; 01/2007