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Finding Optimal Demand Paging Algorithms
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Source Journal of the ACM (JACM) archive
Volume 21 ,  Issue 1  (January 1974) table of contents
Pages: 40 - 53  
Year of Publication: 1974
ISSN:0004-5411
Authors
Giorgio Ingargiola  California Institute of Technology, Pasadena, California
James F. Korsh  Department of Information Sciences, Temple University, School of Business Adminsitration, Philadelphia, PA and California Institute of Technology, Pasadena, California
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 31,   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.

 
1
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.


Collaborative Colleagues:
Giorgio Ingargiola: colleagues
James F. Korsh: colleagues