Analyzing Market-based Resource Allocation Strategies for the
James S. Plank,
John Brevik and
Technical Report UT-CS-00-453, University of Tennessee, December, 2000.
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In this paper, we investigate G-commerce -- computational economies
for controlling resource allocation in Computational Grid settings.
We define hypothetical resource consumers (representing users and
Grid-aware applications) and resource producers (representing
resource owners who ``sell'' their resources to the Grid).
We then measure the efficiency of resource allocation under two
different market conditions: commodities markets and auctions.
We compare both market strategies in terms of price stability,
market equilibrium, consumer efficiency, and producer efficiency.
Our results indicate that commodities markets are a better choice
for controlling Grid resources than previously defined auction