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Spawn: A Distributed Computational Economy
February 1992 (vol. 18 no. 2)
pp. 103-117

The authors have designed and implemented an open, market-based computational system called Spawn. The Spawn system utilizes idle computational resources in a distributed network of heterogeneous computer workstations. It supports both coarse-grain concurrent applications and the remote execution of many independent tasks. Using concurrent Monte Carlo simulations as prototypical applications, the authors 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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Index Terms:
distributed computational economy; market-based computational system; Spawn system; idle computational resources; distributed network; heterogeneous computer workstations; coarse-grain concurrent applications; remote execution; concurrent Monte Carlo simulations; fairness; resource distribution; price equilibria; idle processor time; experimental workbench; computational markets; computer networks; Monte Carlo methods; parallel programming
C.A. Waldspurger, T. Hogg, B.A. Huberman, J.O. Kephart, W.S. Stornetta, "Spawn: A Distributed Computational Economy," IEEE Transactions on Software Engineering, vol. 18, no. 2, pp. 103-117, Feb. 1992, doi:10.1109/32.121753
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