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Optimizing Cache Systems Using Zipf-like Distribution for Enhanced Efficiency

This paper explores the optimal parameters for cache systems based on Zipf-like distribution, emphasizing the importance of understanding cache size and its boundary conditions. We utilize a dynamic model integrating Poisson distribution to analyze system efficiency. Key findings suggest that careful calibration of cache settings can significantly impact the maximum possible hit rate in Internet caching protocols (ICP). We recommend future experimental studies to refine these parameters and enhance cooperative caching schemes within multi-level systems.

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Optimizing Cache Systems Using Zipf-like Distribution for Enhanced Efficiency

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  1. PARAMETERS OF CACHE SYSTEMS BASED ON ZIPF-LIKE DISTRIBUTION Dmitry G. Dolgikh, Andrei M.Sukhov Samara State Aerospace University sukhov@ssau.ru

  2. - definition of cache size from boundary condition - dynamical model - Poisson distribution and system’s efficiency - Zipf-like distribution - the best cache parameters settings - maximum possible hit rate for ICP systems L. Breslau, P. Cao, L. Fan, G. Phillips, S. Shenker; Web Caching and Zipf-like Distribution: Evidence and Implications, in: IEEE Infocom, vol. XX, no. V, 1999, pp. 1-9

  3. Global network νint cache users of the local network

  4. The calibration condition request effect 100% 10% A number of the documents in cache system 1 10 100 1000 p

  5. The boundary condition requests to cache kA 2m (2,m) number of the documents in cache system 2 1 1 10 p m m+1

  6. The dynamical model T system installation 0  t t

  7. Zipf-like distribution

  8. Recommendation for ICP systems second

  9. Discussion • testing model • - best parameters setting • - maximum hit rate • - frequency of asking n'th document • extra experimental data is needed • - (M) • - (M) • multi-level caching systems • - cooperative caching schemes • - cache interaction

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