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A feedback-coupled resource allocation policy for multiprogrammed computer systems

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Summary

An earlier paper on an adaptive workload balancing strategy to achieve efficient resource utilization is extended to include memory cost. The scheme corrects for the imbalance in resource utilization by bringing into play the “Invisible Hand” of classical economics. In this framework, the memory price and the bid, W ij, of each user program U jfor resource R iare calculated adaptively. These prices are not apparent to the users, but they are rather shadow prices determined from the characteristics of user programs, the current resource congestion, and the budget constraints of users. There emerge a set of effective priorities for user programs based on the bid prices, W ij, and these determine the scheduling of programs. An imbalance due to high congestion of some resource will result in a relative decrease of priority for heavy users ofthat resource and a relative increase for light users.

Some ideas on an actual implementation scheme are described based on an approximation to the above abstract scheme. It is shown that this approximate scheme will also tend to balance resource utilization.

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Authors and Affiliations

  1. Department of Computer Science, The University of Electro-Communications, Chofu, Tokyo, Japan

    Hisao Kameda

  2. Department of Computer Science, University of Toronto, Toronto, Canada

    Calvin C. Gotlieb

Authors
  1. Hisao Kameda
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  2. Calvin C. Gotlieb
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Kameda, H., Gotlieb, C.C. A feedback-coupled resource allocation policy for multiprogrammed computer systems. Acta Informatica 8, 341–357 (1977). https://doi.org/10.1007/BF00271343

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  • DOI: https://doi.org/10.1007/BF00271343

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