Accommodating QoS Prediction in an Adaptive Resource Management Framework

Authors:
Eui-nam Huh;Lonnie R. Welch;Behrooz Shirazi;Brett C. Tjaden;Charles Cavanaugh
Affiliations:
-;-;-;-;-
Venue:
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Year:
2000

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Abstract

Resource management for dynamic, distributed real-time systems requires handling of unknown arrival rates for data and events; additional desiderata include: accommodation of heterogeneous resources, high resource utilization, and guarantees of real-time quality-of-service (QoS). This paper describes the techniques employed by a resource manager that addresses these issues. The specific contributions of this paper are: QoS monitoring and resource usage profiling; prediction of real-time QoS (via interpolation and extrapolation of execution times) for heterogeneous resource platforms and dynamic real-time environments; and resource contention analysis.