Dynamically selecting distribution strategies for web documents according to access pattern

Wenyu Qu, Di Wu, Keqiu Li, Hong Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Web caching and replication are efficient techniques for reducing web traffic, user access latency, and server load. In this paper we present a group-based method for dynamically selecting distribution strategies for web documents according to access patterns. The documents are divided into groups according to access patterns and the documents in each group are assigned to the same distribution strategy. Our group-based model combines performance metrics with the different weights assigned to each of them. We use both trace data and statistical data to simulate our methods. The experimental results show that our group-based method for document distribution strategy selection can improve several performance metrics, while keeping others almost the same.

Original languageEnglish
Title of host publicationEmbedded and Ubiquitous Computing - International Conference EUC 2005, Proceedings
Pages518-527
Number of pages10
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Embedded and Ubiquitous Computing, EUC 2005 - Nagasaki, Japan
Duration: 6 Dec 20059 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3824 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Embedded and Ubiquitous Computing, EUC 2005
Country/TerritoryJapan
CityNagasaki
Period6/12/059/12/05

Keywords

  • Autonomous system (AS)
  • Cache replacement algorithm
  • Distribution strategy
  • Simulation
  • Trace data
  • Web caching and replication

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