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 |
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Title of host publication | 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 |
Pages | 448-451 |
Number of pages | 4 |
DOIs | |
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 |
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City | Chengdu |
Period | 09/12/12 → 09/12/14 |
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ASJC Scopus subject areas
- Computer Science Applications
- Software
Cite this
A peer to peer large data parallel computing system and its application in high-resolution video processing. / Chen, Yanru; Chen, Guowei; Matsumoto, Mitsuji.
8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009. 2009. p. 448-451 5380441.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A peer to peer large data parallel computing system and its application in high-resolution video processing
AU - Chen, Yanru
AU - Chen, Guowei
AU - Matsumoto, Mitsuji
PY - 2009
Y1 - 2009
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=77950561929&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950561929&partnerID=8YFLogxK
U2 - 10.1109/DASC.2009.125
DO - 10.1109/DASC.2009.125
M3 - Conference contribution
AN - SCOPUS:77950561929
SN - 9780769539294
SP - 448
EP - 451
BT - 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
ER -