A study of the performance and parameter sensitivity of adaptive distributed caching

M. J. Kaiser, Kwok Ching Tsui, Jiming LIU

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

A self-organized approach to manage a distributed proxy system called Adaptive Distributed Caching (ADC) has been proposed previously [8]. We model each proxy as an autonomous agent that is equipped to decide how to deal with client requests using local information. Experimental results show that our ADC algorithm is able to compete with typical hashing-based approaches. This paper gives a full description of the self-organizing distributed algorithm, with a performance comparison based on hits and hops rate. Additional evaluation of the parameters caching-, multiple- and single-table size is also presented.

Original languageEnglish
Title of host publicationProceedings - 23rd International Conference on Distributed Computing Systems Workshops, ICDCSW 2003
PublisherIEEE
Pages942-947
Number of pages6
ISBN (Electronic)0769519210, 9780769519210
DOIs
Publication statusPublished - 2003
Event23rd International Conference on Distributed Computing Systems Workshops, ICDCSW 2003 - Providence, United States
Duration: 19 May 200322 May 2003

Publication series

NameProceedings - 23rd International Conference on Distributed Computing Systems Workshops, ICDCSW 2003

Conference

Conference23rd International Conference on Distributed Computing Systems Workshops, ICDCSW 2003
Country/TerritoryUnited States
CityProvidence
Period19/05/0322/05/03

Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

User-Defined Keywords

  • Adaptive systems
  • Autonomous agents
  • Cache storage
  • Computer science
  • Distributed algorithms
  • IP networks
  • Performance analysis
  • Telecommunication traffic
  • Uniform resource locators
  • Web server

Fingerprint

Dive into the research topics of 'A study of the performance and parameter sensitivity of adaptive distributed caching'. Together they form a unique fingerprint.

Cite this