A macroeconomic model for resource allocation in large-scale distributed systems

  • Authors:

  • Xin Bai;Dan C. Marinescu;Ladislau Bölöni;Howard Jay Siegel;Rose A. Daley;I-Jeng Wang

  • Affiliations:

  • School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA;School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA;School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA;Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523-1373, USA and Department of Computer Science, Colorado State University, Fort Collins, CO 80523 ...;Applied Physics Laboratory, Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD20723-6099, USA;Applied Physics Laboratory, Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD20723-6099, USA

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2008

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Abstract

In this paper we discuss an economic model for resource sharing in large-scale distributed systems. The model captures traditional concepts such as consumer satisfaction and provider revenues and enables us to analyze the effect of different pricing strategies upon measures of performance important for the consumers and the providers. We show that given a particular set of model parameters the satisfaction reaches an optimum; this value represents the perfect balance between the utility and the price paid for resources. Our results confirm that brokers play a very important role and can influence positively the market. We also show that consumer satisfaction does not track the consumer utility; these two important performance measures for consumers behave differently under different pricing strategies. Pricing strategies also affect the revenues obtained by providers, as well as, the ability to satisfy a larger population of users.