Abstract
Meeting deadline constraints is one of the most important concerns in real-time systems. Sometimes, it is impossible to schedule all of the tasks so that their deadlines are met, a situation that occurs quite often when the system is in peak load. To cope with this situation, one can completely give up certain less important tasks in favor of meeting the deadlines of more important ones. Another approach is to regard each task as logically composed of two subtasks, mandatory and optional; the optional subtask of each task begins after the end of its mandatory subtask. It is required that each task finishes its mandatory subtask completely, while its optional subtask can be left unfinished. If a task cannot finish its optional subtask, it incurs an error proportional to the execution time of its unfinished portion. This approach is particularly useful for iterative algorithms, where the mandatory subtask corresponds to the task of obtaining an initial result and the optional subtask corresponds to the enhancement of previously obtained results. With this approach it is possible to satisfy the deadline constraints of more tasks, even though some tasks may not have completely finished execution.
Research supported in part by the ONR Grant N00014-91-J-1383.
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References
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© 1995 Kluwer Academic Publishers
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Leung, J.YT. (1995). A Survey of Scheduling Results for Imprecise Computation Tasks. In: Natarajan, S. (eds) Imprecise and Approximate Computation. The Springer International Series in Engineering and Computer Science, vol 318. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-26870-5_3
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DOI: https://doi.org/10.1007/978-0-585-26870-5_3
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