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