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Summary: A CostBenefit Framework for
Online Management of a Metacomputing System
Yair Amir, Baruch Awerbuch, R. Sean Borgstrom
Department of Computer Science
The Johns Hopkins University
Baltimore MD 21218
{yairamir, baruch, rsean}@cs.jhu.edu
1. ABSTRACT
Managing a large collection of networked
machines, with a series of incoming jobs,
requires that the jobs be assigned to machines
wisely. A new approach to this problem is
presented, inspired by economic principles: the
CostBenefit Framework. This framework
simplifies complex assignment and admission
control decisions, and performs well in
practice. We demonstrate this framework in
two different environments: an Internetwide
market for computational services and the
classic network of workstations.
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