Abstract
In this paper we present a scalable scheduling heuristic for several common classes of multi-component applications (meta-applications). We consider this scheduling problem in a wide-area heterogeneous computing environment, or metasystem. The heterogeneity and scale of the computing environment and the heterogeneity of the application make this a challenging problem. We have studied the performance of the heuristic in simulation and the results are encouraging. Completion times for three common classes of meta-applications were within 10-20% of optimal on average with a worst-case variance of 60%. The results suggest that effective scheduling of meta-applications is possible, if sufficient application and system resource cost information is provided.
Original language | English (US) |
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Pages (from-to) | 209-215 |
Number of pages | 7 |
Journal | Proceedings of the Heterogeneous Computing Workshop, HCW |
State | Published - 2000 |