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 | |
| 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
Fingerprint Dive into the research topics of 'A peer to peer large data parallel computing system and its application in high-resolution video processing'. Together they form a unique fingerprint.
Cite this
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