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| Content Provider | ACM Digital Library |
|---|---|
| Author | Harchol-Balter, Mor Wierman, Adam Osogami, Takayuki |
| Abstract | We define the class of SMART scheduling policies. These are policies that bias towards jobs with small remaining service times, jobs with small original sizes, or both, with the motivation of minimizing mean response time and/or mean slowdown. Examples of SMART policies include PSJF, SRPT, and hybrid policies such as RS (which biases according to the product of the remaining size and the original size of a job).For many policies in the SMART class, the mean response time and mean slowdown are not known or have complex representations involving multiple nested integrals, making evaluation difficult. In this work, we prove three main results. First, for all policies in the SMART class, we prove simple upper and lower bounds on mean response time. Second, we show that all policies in the SMART class, surprisingly, have very similar mean response times. Third, we show that the response times of SMART policies are largely insensitive to the variability of the job size distribution. In particular, we focus on the SRPT and PSJF policies and prove insensitive bounds in these cases. |
| Starting Page | 205 |
| Ending Page | 216 |
| Page Count | 12 |
| File Format | |
| ISBN | 1595930221 |
| DOI | 10.1145/1064212.1064236 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-06-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Shortest remaining processing time Ps M/g/1 Srpt Response time Psjf Scheduling Processor sharing Smart Preemptive shortest job first |
| Content Type | Text |
| Resource Type | Article |
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