Multiprocessor scheduling with practical constraints
The problem of scheduling tasks onto multiprocessor systems has increasing practical importance as more applications are being addressed with multiprocessor systems. Actual application and multiprocessor systems have many characteristics that become constraints to the general scheduling problem of minimizing the schedule length. These practical constraints include precedence relations and communication delays between tasks, yet few researchers have considered both these constraints when developing schedulers. This work examines a more general multiprocessor scheduling problem, which includes these practical scheduling constraints, and develops a new scheduling heuristic using a list scheduler with dynamically computed priorities. The dynamic priority heuristic is compared against an optimal scheduler and against other researchers' approaches for thousands of randomly generated scheduling problems. The dynamic priority heuristic produces schedules with lengths which are 10% to 20% over optimal on the average. The dynamic priority heuristic performs better than other researchers' approaches for scheduling problems with the practical constraints. It is important to consider practical constraints in the design of a scheduler, and a simple heuristic can still achieve good performance in this area.
- Research Organization:
- University of Central Florida, Orlando (USA)
- OSTI ID:
- 7204001
- Country of Publication:
- United States
- Language:
- English
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