The Role of Hysteresis in Caching Systems

Author:

Domingues Guilherme1,Mendonça Gabriel2,Silva Edmundo De Souza E2,Leão Rosa M. M.2,Menasché Daniel S.2,Rottenstreich Ori3,Dehghan Mostafa4,Towsley Don5

Affiliation:

1. State University of Rio de Janeiro (UERJ), Brazil

2. Federal University of Rio de Janeiro (UFRJ), Brazil

3. Technion, Haifa, Israel

4. Google Inc, Mountain View, USA

5. University of Massachusetts at Amherst (UMass, Amherst), Amherst, MA, USA

Abstract

Caching is a fundamental element of networking systems since the early days of the Internet. By filtering requests toward custodians, caches reduce the bandwidth required by the latter and the delay experienced by clients. The requests that are not served by a cache, in turn, comprise its miss stream. We refer to the dependence of the cache state and miss stream on its history as hysteresis. Although hysteresis is at the core of caching systems, a dimension that has not been systematically studied in previous works relates to its impact on caching systems between misses, evictions, and insertions. In this article, we propose novel mechanisms and models to leverage hysteresis on cache evictions and insertions. The proposed solutions extend TTL-like mechanisms and rely on two knobs to tune the time between insertions and evictions given a target hit rate. We show the general benefits of hysteresis and the particular improvement of the two thresholds strategy in reducing download times, making the system more predictable and accounting for different costs associated with object retrieval.

Funder

CNPq, FAPERJ

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Media Technology,Information Systems,Software,Computer Science (miscellaneous)

Reference58 articles.

1. Amazon. 2017. Amazon Elastic Cache: Amazon Web Services. Retrieved from http://aws.amazon.com/elasticache/. Amazon. 2017. Amazon Elastic Cache: Amazon Web Services. Retrieved from http://aws.amazon.com/elasticache/.

2. Optimal Content Placement for Peer-to-Peer Video-on-Demand Systems

3. Randomized admission policy for efficient top-k and frequency estimation

4. Exact analysis of TTL cache networks

Cited by 2 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

1. Efficient Computation of Optimal Thresholds in Cloud Auto-scaling Systems;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2023-07-24

2. An overview of analysis methods and evaluation results for caching strategies;Computer Networks;2023-06

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