| Finding Optimal Demand Paging Algorithms |
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Journal of the ACM (JACM)
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Volume 21 , Issue 1 (January 1974)
table of contents
Pages: 40 - 53
Year of Publication: 1974
ISSN:0004-5411
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Authors
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Giorgio Ingargiola
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California Institute of Technology, Pasadena, California
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James F. Korsh
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Department of Information Sciences, Temple University, School of Business Adminsitration, Philadelphia, PA and California Institute of Technology, Pasadena, California
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Downloads (6 Weeks): 4, Downloads (12 Months): 27, Citation Count: 3
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ABSTRACT
A cost is defined for demand paging algorithms with respect to a formal stochastic model of program behavior. This cost is shown to exist under rather general assumptions, and a computational procedure is given which makes it possible to determine the optimal cost and optimal policy for moderate size programs, when the formal model is known and not time dependent. In this latter case it is shown that these computational procedures may be extended to larger programs to obtain arbitrarily close approximations to their optimal policies. In previous models either unwarranted information is assumed beyond the formal model, or the complete stochastic nature of the model is not taken into account.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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BELADY, L.A. A study of replacement algorithms for virtual storage computers. IBM Syst. J. 5, 2 (1966), 78-101.
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MATTSON, R. L., GECSEZ, J., SLUTZ, D. R., AND TRAIGER, I. L. Evaluation techniques for storage hierarchies. IBM Syst. J. 9, 2 (1970), 78-117.
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FELLER, W. An Introduction to Probability Theory and Its Applications, Vol I. Wiley, New York, 1968.
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HOWARD, R.A. Dynamic Programming and Markov Processes. The M.I.T. Press, Cambridge, Mass., 1960.
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