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International Journal of High Performance Computing Applications
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Analyzing Market-Based Resource Allocation Strategies for the Computational Grid

Rich Wolski

Department of Computer Science, University of California, Santa Barbara

James S. Plank

Department of Computer Science, University of Tennessee

John Brevik

Mathematics and Computer Science Department, College of the Holy Cross

Todd Bryan

Department of Computer Science, University of California, Santa Barbara

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.

International Journal of High Performance Computing Applications, Vol. 15, No. 3, 258-281 (2001)
DOI: 10.1177/109434200101500305
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A. J. Chakravarti, G. Baumgartner, and M. Lauria
Self-Organizing Scheduling on the Organic Grid
International Journal of High Performance Computing Applications, February 1, 2006; 20(1): 115 - 130.
[Abstract] [PDF]