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CPU Time Pricing

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Years and Authors of Summarized Original Work

2005; Deng, Huang, Li

Problem Definition

This problem is concerned with a Walrasian equilibrium model to determine the prices of CPU time. In a market model of a CPU job scheduling problem, the owner of the CPU processing time sells time slots to customers and the prices of each time slot depends on the seller's strategy and the customers' bids (valuation functions). In a Walrasian equilibrium, the market is clear and each customer is most satisfied according to its valuation function and current prices. The work of Deng, Huang, and Li [1] establishes the existence conditions of Walrasion equilibrium, and obtains complexity results to determine the existence of equilibrium. It also discusses the issues of excessive supply of CPU time and price dynamics.

Notations

Consider a combinatorial auction (\( { \Omega, {I}, V } \)):

  • Commodities: The seller sells m kinds of indivisible commodities. Let \( { \Omega=\left\{\omega_1\times\delta_1,\right....

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Recommended Reading

  1. Deng X, Huang L-S, Li M (2007) On Walrasian price of CPU time. In: Proceedings of COCOON'05, Knming, 16–19 Aug 2005, pp 586–595. Algorithmica 48(2):159–172

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  2. Ferguson D, Yemini Y, Nikolaou C (1988) Microeconomic algorithms for load balancing in distributed computer systems. In: Proceedings of DCS'88, San Jose, 13–17 June 1988, pp 419–499

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  3. Goldberg AV, Hartline JD, Wright A (2001) Competitive auctions and digital goods. In: Proceedings of SODA'01, Washington, DC, 7–9 Jan 2001, pp 735–744

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  4. Kelly FP (1997) Charging and rate control for elastic traffic. Eur Trans Telecommun 8:33–37

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  5. Kurose JF, Simha R (1989) A microeconomic approach to optimal resource allocation in distributed computer systems. IEEE Trans Comput 38(5):705–717

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  6. Nisan N (2000) Bidding and allocation in combinatorial auctions. In: Proceedings of EC'00, Minneapolis, 17–20 Oct 2000, pp 1–12

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© 2016 Springer Science+Business Media New York

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Huang, LS. (2016). CPU Time Pricing. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_94

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