Name
Abstract | ||
|---|---|---|
Efficient resource allocation for submitted task is one of the main challenges in grid computing. Much work in this aspect has focused on resource discovery and usage. Resource allocation, which is an interface between resource discovery and usage, is always unvalued in the past while some resource owners may provide resources with poor quality. A personalized fair reputation scheme is proposed in this paper to overcome these limitations and to encourage collaboration in grid community. We present minimum and maximum threshold for reputation from other entities to decrease malicious competition. A rewarding mechanism is also proposed in our reputation scheme to encourage collaboration. Then we present how to integrate our reputation scheme into grid resource allocation approach. Experimental results show that our approach can work in the environment with high ratio of malicious nodes in grid. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11890393_42 | ADVIS |
Keywords | Field | DocType |
resource allocation,grid computing,efficient resource allocation,personalized fair reputation,malicious competition,resource owner,reputation scheme,resource discovery,personalized fair reputation scheme,grid resource allocation approach,grid community | Resource management,Information system,Grid computing,Computer security,Computer science,Resource allocation,Resource Provider,Grid,Personalization,Reputation | Conference |
Volume | ISSN | ISBN |
4243 | 0302-9743 | 3-540-46291-0 |
Citations | PageRank | References |
2 | 0.45 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| QingYuan Huang | 1 | 8 | 1.71 |
| Yongjun Wang | 2 | 27 | 9.19 |
| Su, Jinshu | 3 | 750 | 96.41 |
| Yingzhi Zeng | 4 | 22 | 5.59 |