Boosting Cache Performance by Access Time Measurements

Gil Einziger, Omri Himelbrand, Erez Waisbard

Research output: Contribution to journalArticlepeer-review

Abstract

Most modern systems utilize caches to reduce the average data access time and optimize their performance. Recently proposed policies implicitly assume uniform access times, but variable access times naturally appear in domains such as storage, web search, and DNS resolution.Our work measures the access times for various items and exploits variations in access times as an additional signal for caching algorithms. Using such a signal, we introduce adaptive access time-aware cache policies that consistently improve the average access time compared with the best alternative in diverse workloads. Our adaptive algorithm attains an average access time reduction of up to 46% in storage workloads, up to 16% in web searches, and 8.4% on average when considering all experiments in our study.

Original languageAmerican English
Article number8
JournalACM Transactions on Storage
Volume19
Issue number1
DOIs
StatePublished - 17 Feb 2023

Keywords

  • Cross domain caching
  • access time dataset
  • access times aware caching
  • dynamic caching

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

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