A peer-to-peer based job distribution model using dynamic network structure transformation

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Abstract

Typically, many systems in organizations suffer from limited computer resources, while there are a huge number of under-utilized computers available which are able to contribute to continue reliable services when a system faces operational overloads. This paper proposes a Peer-to-Peer (P2P) based distributed job distribution model for job allocation and aggregation using Hub Peers. To this end, we first provide a peer-to-peer job distribution model using periodically collected peer information, and then proposed a peer structure transformation algorithm that composes P2P network topology dynamically for using under-utilized computing resources efficiently. Finally, we prove the benefits of our approach by comparing our proposed approach to other works.

Original languageEnglish
Title of host publicationMobile, Ubiquitous, and Intelligent Computing, MUSIC 2013
PublisherSpringer Verlag
Pages377-383
Number of pages7
ISBN (Print)9783642406744
DOIs
StatePublished - 2014
Event4th International Conference on Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013 - Gwangju, Korea, Republic of
Duration: 4 Sep 20136 Sep 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume274 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013
Country/TerritoryKorea, Republic of
CityGwangju
Period4/09/136/09/13

Keywords

  • distributed processing
  • job management
  • load sharing
  • Peer-to-Peer system
  • tree transformation

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