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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dey, J.K. Kurose, J. Towsley, D. |
| Copyright Year | 1968 |
| Abstract | We consider a real time task model where a task receives a "reward" that depends on the amount of service received prior to its deadline. The reward of the task is assumed to be an increasing function of the amount of service that it receives, i.e., the task has the property that it receives increasing reward with increasing service (IRIS). We focus on the problem of online scheduling of a random arrival sequence of IRIS tasks on a single processor with the goal of maximizing the average reward accrued per task and per unit time. We describe and evaluate several policies for this system through simulation and through a comparison with an unachievable upper bound. We observe that the best performance is exhibited by a two level policy where the top level algorithm is responsible for allocating the amount of service to tasks and the bottom level algorithm, using the earliest deadline first (EDF) rule, is responsible for determining the order in which tasks are executed. Furthermore, the performance of this policy approaches the theoretical upper bound in many cases. We also show that the average number of preemptions of a task under this two level policy is very small. |
| Sponsorship | IEEE Computer Society Technical Committee on Distributed Process IEEE Computer Society Technical Committee on VLSI IEEE Technical Committee on Computer Architecture IEEE Computer Society |
| Starting Page | 802 |
| Ending Page | 813 |
| Page Count | 12 |
| File Size | 1388239 |
| File Format | |
| ISSN | 00189340 |
| Volume Number | 45 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iris Processor scheduling Iterative algorithms Upper bound Scheduling algorithm Real time systems Remotely operated vehicles Mobile robots Navigation Process planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Software Hardware and Architecture |
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