Scope and Accuracy of Analytic and Approximate Results for FIFO, Clock-Based and LRU Caching Performance

Author:

Hasslinger Gerhard1,Ntougias Konstantinos2,Hasslinger Frank3,Hohlfeld Oliver4

Affiliation:

1. Deutsche Telekom, 64289 Darmstadt, Germany

2. Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 22006, Cyprus

3. Department of Computer Science, Darmstadt University of Technology, 64289 Darmstadt, Germany

4. Distributed Systems Group, University of Kassel, 34127 Kassel, Germany

Abstract

We evaluate analysis results and approximations for the performance of basic caching methods, assuming independent requests. Compared with simulative evaluations, the analysis results are accurate, but their computation is tractable only within a limited scope. We compare the scalability of analytical FIFO and LRU solutions including extensions for multisegment caches and for caches with data of varying sizes. On the other hand, approximations have been proposed for the FIFO and LRU hit ratio. They are simple and scalable, but their accuracy is confirmed mainly through asymptotic behaviour only for large caches. We derive bounds on the approximation errors in a detailed worst-case study with a focus on small caches. The approximations are extended to data of different sizes. Then a fraction of unused cache space can add to the deviations, which is estimated in order to improve the solution.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference41 articles.

1. A survey of web cache replacement strategies;Podlipnik;ACM Comput. Surv.,2003

2. Internet web servers: Workload characterization and performance implications;Arlitt;IEEE Trans. Netw.,1997

3. Li, S., Xu, J., van der Schaar, M., and Li, W. (2016, January 10–14). Popularity-driven content caching. Proceedings of the IEEE Infocom, San Francisco, CA, USA.

4. The role of caching in future communication systems and networks;Paschos;IEEE JSAC,2018

5. Corbato, F.J. (1968). A paging experiment with the Multics system. MIT Proj. MAC Rep. MAC-M-384, 1–14.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3