Name
Abstract | ||
|---|---|---|
The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed with a representative layer and a committee layer. The representative layer consists of informed and experienced Users who contribute their individual experiences to judge a particular grid resource. The committee layer aggregates these individual judgments and makes a comprehensive decision based on these aggregated information. All the judgments and the final decision are made fuzzily based on historical statistics of resource evaluation. Experimental results show that CRESM is stable and accurate in different grid environments. CRESM can also defeat collusive deceitful behaviors. Meanwhile, CRESM based resource scheduling can improve QoS support for grid applications. © 2009 IEEE. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/GRID.2009.5353078 | GRID |
Keywords | Field | DocType |
resource sharing,quality of service,resource management,fuzzy logic,scheduling,probability density function,grid computing,data mining | Resource management,Grid computing,Computer science,Scheduling (computing),Fuzzy logic,Quality of service,Shared resource,Grid,Grid resources,Distributed computing | Conference |
Volume | Issue | Citations |
null | null | 2 |
PageRank | References | Authors |
0.39 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Wang | 1 | 2 | 0.39 |
| Junwei Cao | 2 | 935 | 70.95 |