Abstract
We have designed and implemented an open, market-based
computational system called Spawn. The Spawn system utilizes idle
computational reources in a distributed network of heterogeneous
computer workstations. It supports both coarse-grain concurrent
application and the remote executon of many independent tasks.
Using concurrent Monte Carlo simulations as prototypical
applications, we explore issues of fairness in resource
distribution, currency as a form of priority, price equilibria,
the dynamics of transients, and scaling to large systems. In
addition to serving the practical goal of harnessing idle
processor time in a computer network, Spawn has proven to be a
valuable experimental workbench for studying computational
markets and their dynamics
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