Simulation of a Peer to Peer Market for Grid Computing

  • Authors:
  • Uli Harder;Fernando Martínez Ortuño

  • Affiliations:
  • Department of Computing, Imperial College London, London, UK SW7 2RH;Department of Computing, Imperial College London, London, UK SW7 2RH

  • Venue:
  • ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
  • Year:
  • 2008

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Abstract

In this paper we investigate the market economy of a Peer-to-Peer network for Grid Computing. We present a simulation of P2P network where nodes either require or offer resources, which can be thought as CPU time for example. We examine the market behaviour of the P2P network for Erdős-Rényi and Barabási-Albert networks types of different sizes ranging from 4,096 nodes to 1,048,576 nodes. We find that utilisation and market behaviour depend on the network type but not the size. Similarly, different price update algorithms have little effect on the price development, which is more determined by the network type. We also measure the average buffer size and number of messages in the system. For the Barabási-Albert network, we find that the buffer size of each node has an effect on the price development in the system. The results are useful to guide designers of P2P Grid computing systems, like the Global Open Grid.