The dynamics of peer-to-peer tasks: An agent-based perspective

Xiaolong Jin*, Jiming LIU, Zhen Yang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Grid computing aims at integrating geographically distributed computers and providing 'super-supercomputers' that can be seamlessly accessed by users all over the world. In peer-to-peer grids, numerous tasks are distributed to grid nodes in a decentralized fashion. In this case, two issues of interest are suitable computing mechanisms and the global performance of the grid, specifically, the dynamics of task distribution and handling. To address these issues, in this paper we present an agent-based adaptive paradigm for peer-to-peer grids and further identify two typical scenarios corresponding to task distribution and handling in this paradigm. We provide two models to characterize the agent-based scenarios. Based on our characterizations, we identify the key features of, and the effects of, several important parameters on the dynamics of task distribution and handling in peer-to-peer grids.

Original languageEnglish
Title of host publicationAgents and Peer-to-Peer Computing - Third International Workshop, AP2PC 2004, Revised and Invited Papers
PublisherSpringer Verlag
Pages173-184
Number of pages12
ISBN (Print)3540297553, 9783540297550
DOIs
Publication statusPublished - 2005
EventThird International Workshop on Agents and Peer-to-Peer Computing, AP2PC 2004 - New York, NY, United States
Duration: 19 Jul 200419 Jul 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3601 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThird International Workshop on Agents and Peer-to-Peer Computing, AP2PC 2004
Country/TerritoryUnited States
CityNew York, NY
Period19/07/0419/07/04

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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