Bag-of-Tasks applications scheduling on volunteer desktop grids with adaptive information dissemination

  • Authors:
  • Kwan, Shun Kit Kwan;Jogesh, K. Muppala Jogesh

  • Affiliations:
  • Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

  • Venue:
  • LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
  • Year:
  • 2010

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Abstract

In this paper, we explore the problem of scheduling multiple concurrent Bag-of-Tasks (BoT) applications in unstructured peer-to-peer (P2P) volunteer desktop grids built around a super-peer framework. Resource availability information is exchanged among the super-peers using a light-weight threshold-driven gossip protocol with the aim of minimizing the resource discovery overhead. We present a comprehensive study of the properties of fixed threshold and adaptive threshold based gossiping mechanisms using detailed simulation experiments. Our results indicate that while gossiping with fixed threshold reflects resource usage effectively in a scalable network, an adaptive gossip threshold mechanism based on a simple feedback mechanism considering system state adapts much better to a volatile environment with small latency, reduced overhead and yields better system performance compared to fixed threshold protocols.