G-commerce: market formulations controlling resource allocation on the computational grid
- 13 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 8 pp.-46
- https://doi.org/10.1109/ipdps.2001.924985
Abstract
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 strategies.Keywords
This publication has 8 references indexed in Scilit:
- High performance parametric modeling with Nimrod/G: killer application for the global grid?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The AppLeS Parameter Sweep Template: User-Level Middleware for the GridPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- The WALRAS Algorithm: A Convergent Distributed Implementation of General Equilibrium OutcomesComputational Economics, 1998
- Market-based resource control for mobile agentsPublished by Association for Computing Machinery (ACM) ,1998
- Netsolve: a Network-Enabled Server for Solving Computational Science ProblemsThe International Journal of Supercomputer Applications and High Performance Computing, 1997
- Globus: a Metacomputing Infrastructure ToolkitThe International Journal of Supercomputer Applications and High Performance Computing, 1997
- Application-level scheduling on distributed heterogeneous networksPublished by Association for Computing Machinery (ACM) ,1996
- Spawn: a distributed computational economyIEEE Transactions on Software Engineering, 1992