Adaptive Resource Allocation Control with On-Line Search for Fair QoS Level

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RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Year:
2004

Citing 0
Cited 2

Adaptive Resource Allocation Control for Fair QoS Management

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Adaptive Fair Sharing Control in Real-Time Systems Using Nonlinear Elastic Task Models

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Abstract

Recently, applications of control theory to avoid overloadconditions have been studied. But, in conventionalfeedback theory, control input is determined by an error betweena reference value of a controlled signal and its currentvalue. In real-time systems, a set of active tasks maybe time-varying so that the reference value may change accordingto the set. In this paper, we proposed a novel controlmethod for a fair resource allocation and QoS levelsof tasks are used as controlled signals. The proposed adaptationcontroller allocates a CPU utilization factor to eachtask with on-line search for the fair QoS level, and the proposedcontrol rule is based on errors between the currentQoS levels and their average. Its computation time is smallso that it does not yield a heavy overhead.