Journal
IEEE TRANSACTIONS ON COMPUTERS
Volume 51, Issue 3, Pages 289-302Publisher
IEEE COMPUTER SOC
DOI: 10.1109/12.990127
Keywords
real-time scheduling; overload management; rate adaptation
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An increasing number of real-time applications, related to multimedia and adaptive control systems, require greater flexibility than classical real-time theory usually permits. In this paper, we present a novel scheduling framework in which tasks are treated as springs with given elastic coefficients to better conform to the actual load conditions. Under this model, periodic tasks can intentionally change their execution rate to provide different quality of service and the other tasks can automatically adapt their periods to keep the system underloaded, The proposed model can also be used to handle overload conditions in a more flexible way and to provide a simple and efficient mechanism for controlling a system's performance as a function of the current load.
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