Analyzing Market-Based Resource Allocation Strategies for the Computational Grid

  • Authors:
  • Rich Wolski;James S. Plank;John Brevik;Todd Bryan

  • Affiliations:
  • Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of Tennessee;Mathematics and Computer Science Department, College of the Holy Cross;Department of Computer Science, University of California, Santa Barbara

  • Venue:
  • International Journal of High Performance Computing Applications
  • Year:
  • 2001

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Abstract

In this paper, the authors investigate G-commerce--computational economies for controlling resource allocation in computational Grid settings. They define hypothetical resource consumers (representing users and Grid-aware applications) and resource producers (representing resource owners who "sell" their resources to the Grid). The authors then measure the efficiency of resource allocation under two different market conditions--commodities markets and auctions--and compare both market strategies in terms of price stability, market equilibrium, consumer efficiency, and producer efficiency. The results indicate that commodities markets are a better choice for controlling Grid resources than previously defined auction strategies.