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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wu, Haisang Ravindran, Binoy Jensen, E. Douglas |
| Abstract | We present an energy-efficient real-time scheduling algorithm called EUA*, for the unimodal arbitrary arrival model (or UAM). UAM embodies a "stronger" adversary than most arrival models. The algorithm considers application activities that are subject to time/utility function time constraints, UAM, and the multi-criteria scheduling objective of probabilistically satisfying utility lower bounds, and maximizing system-level energy efficiency. Since the scheduling problem is intractable, EUA* allocates CPU cycles, scales clock frequency, and heuristically computes schedules using statistical estimates of cycle demands, in polynomial-time. We establish that EUA* achieves optimal timeliness during under-loads, and identify the conditions under which timeliness assurances hold. Our simulation experiments illustrate EUA*'s superiority. |
| Starting Page | 474 |
| Ending Page | 479 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769522882 |
| ISSN | 15301591 |
| DOI | 10.1109/DATE.2005.139 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-03-07 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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