Simulation of a market model for distributed control

  • Authors:
  • Ross A. Gagliano;Martin D. Fraser;Mark E. Schaefer

  • Affiliations:
  • Department of Mathematics and Computer Science;Department of Mathematics and Computer Science;Department of Economics, Georgia State University, Atlanta, Georgia

  • Venue:
  • ANSS '88 Proceedings of the 21st annual symposium on Simulation
  • Year:
  • 1988

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Abstract

Decentralized control in the allocation of computing resources to tasks in a multiprocessing environment is designed using a general concept of a market. Two different market models are developed: auction and barter. In both cases, the tasks compete among themselves for computing resources rather than having them assigned by a host. Definite relationships between market strategy and system performance were found. Moreover, the results varied with machine configuration and appear applicable to systems of distributed control.