Abstract | ||
---|---|---|
The success of web services has influenced the way in which Grid applications are being written. Web services are increasingly used as a means to realise service-oriented distributed computing. Grid users often submit their applications in the form of workflows with certain Quality of Service (QoS) requirements imposed on the workflows. These workflows detail the composition of web services and the level of service required from the Grid. This paper addresses workload allocation techniques for Grid workflows. We model a web service as an M/M/k queue and obtain a numerical solution for missed deadlines (failures) of Grid workflow tasks. The approach is evaluated through an experimental simulation and the results confirm that the proposed workload allocation strategy performs considerably better in terms of satisfying QoS requirements of Grid workflows than scheduling algorithms that don't employ such workload allocation techniques. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11951957_25 | ICDCIT |
Keywords | Field | DocType |
grid application,grid user,workflows detail,qos-constrained application,proposed workload allocation strategy,grid workflow task,grid workflows,workload allocation technique,web service-oriented grid,web service,experimental simulation,qos requirement,distributed computing,scheduling algorithm,workflows,level of service,qos,satisfiability,quality of service | Grid computing,Service quality,Computer science,Scheduling (computing),Quality of service,Computer network,Semantic grid,Web service,Workflow,Grid,Distributed computing | Conference |
Volume | ISSN | ISBN |
4317 | 0302-9743 | 3-540-68379-8 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yash Patel | 1 | 29 | 4.60 |
John Darlington | 2 | 191 | 27.97 |