San Francisco, California, USA
Apr. 23, 2001 to Apr. 27, 2001
In this paper, we investigate G-commerce - computational economies for controlling resource allocation in Computational Grid settings. We define hypothetical re-source 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 strategies.
Rich Wolski, James S. Plank, Todd Bryan, John Brevik, "G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid", IPDPS, 2001, Parallel and Distributed Processing Symposium, International, Parallel and Distributed Processing Symposium, International 2001, pp. 10046b, doi:10.1109/IPDPS.2001.924985