| Publisher | University of Melbourne | ||
|---|---|---|---|
| Format | 261.1KB PDF | Date added | 06 Oct 2005 |
| Topics | High Performance Computing, Quality of Service | ||
| Downloads | 85 | ||
Over the last few years, Grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (Quality of Service) requirements. In such "pay-per-use" Grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this paper, a cost-based workflow scheduling algorithm is proposed that minimizes execution cost while meeting the deadline for delivering results. It can also adapt to the delays of service executions by rescheduling unexecuted tasks.
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