A peer to peer large data parallel computing system and its application in high-resolution video processing

Yanru Chen, Guowei Chen, Mitsuji Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Motivated by the requirement of processing large data high-resolution videos, a research on peer to peer (P2P) large data parallel computing is made. The proposed P2P system is unstructured, completely self-organized and load balanced, which make it very efficient in computing any kinds of dividable large data tasks. The system models and algorithms are described, and simulation results show that the proposed system has better performance than an existing grid system.

Original languageEnglish
Title of host publication8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
Pages448-451
Number of pages4
DOIs
Publication statusPublished - 2009
Event8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 - Chengdu
Duration: 2009 Dec 122009 Dec 14

Other

Other8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
CityChengdu
Period09/12/1209/12/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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    Chen, Y., Chen, G., & Matsumoto, M. (2009). A peer to peer large data parallel computing system and its application in high-resolution video processing. In 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 (pp. 448-451). [5380441] https://doi.org/10.1109/DASC.2009.125