A. Andersson and F. Ygge.
Managing large-scale computational markets.
In Proc. 31st Hawaiian International Conference on System Sciences,
VOL VII - Software Technology Track,
pages 4 - 13, IEEE Computer Society, 1998. (Winner of the best paper award of the Software Technology Track)
General equilibrium theory has been proposed for resource allocation in computational markets. The basic procedure is that
agents submit bids and that a resource (re)allocation is performed when a set of prices (one for each commodity) is found
such that supply meets demand for each commodity. For successful implementation of large markets based on general
equilibrium theory, efficient algorithms for finding the equilibrium are required.
We discuss some drawbacks of current algorithms for large scale equilibrium markets and present a novel distributed
algorithm, CoTree, which deals with the most important problems. CoTree is communication sparse, fast in adapting to
preference changes of a few agents, have minimal requirements on local data, and is easy to implement.
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