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

Yanru Chen; Guowei Chen; Mitsuji Matsumoto

doi:10.1109/DASC.2009.125

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

Yanru Chen^*, Guowei Chen, Mitsuji Matsumoto

^*Corresponding author for this work

Waseda University

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
Pages	448-451
Number of pages	4
DOIs	https://doi.org/10.1109/DASC.2009.125
Publication status	Published - 2009
Event	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 - Chengdu Duration: 2009 Dec 12 → 2009 Dec 14

Other

Other	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
City	Chengdu
Period	09/12/12 → 09/12/14

ASJC Scopus subject areas

Computer Science Applications
Software

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10.1109/DASC.2009.125

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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., 5380441, pp. 448-451, 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009, Chengdu, 09/12/12. https://doi.org/10.1109/DASC.2009.125

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AB - 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.

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

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