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Adaptive CPU scheduling policies for mixed multimedia and best-effort workloads

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2 Author(s)
M. A. Rau ; Unisys Corp., NASA Langley Res. Center, Hampton, VA, USA ; E. Smirni

As multimedia applications with real-time constraints rapidly invade today's desktops, it becomes increasingly important for the operating system to provide robust resource allocation mechanisms for both multimedia and traditional best-effort workloads. We present a flexible CPU scheduling policy that adjusts the CPU proportion allocated to each application class using recent history as a feedback mechanism. The algorithm quickly adapts to varying workload conditions and compares favorably with static proportional scheduling schemes for mixed workloads

Published in:

Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 1999. Proceedings. 7th International Symposium on

Date of Conference:

1999