DocumentCode :
3095801
Title :
A Peer to Peer Large Data Parallel Computing System and its Application in High-Resolution Video Processing
Author :
Chen, Yanru ; Chen, Guowei ; Matsumoto, Mitsuji
Author_Institution :
GITS, Waseda Univ., Tokyo, Japan
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
448
Lastpage :
451
Abstract :
Motivated by the requirement of processing large datahigh-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.
Keywords :
image resolution; parallel processing; peer-to-peer computing; video signal processing; P2P system; grid system; high-resolution video processing; load balancing; peer to peer large data parallel computing system; system models; Computational modeling; Computer crashes; Concurrent computing; Grid computing; Job shop scheduling; Parallel processing; Peer to peer computing; Processor scheduling; Videoconference; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
Type :
conf
DOI :
10.1109/DASC.2009.125
Filename :
5380441
Link To Document :
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