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| Content Provider | ACM Digital Library |
|---|---|
| Author | Grit, Laura E. Chase, Jeffrey S. |
| Abstract | In a shared server infrastructure, a scheduler controls how quantities of resources are shared over time in a fair manner across multiple, competing consumers. It should support wide (parallel) requests for variable-sized pool of resources, provide assurance of minimum resource allotment on demand, and give predictable assignments. Our approach integrates a fair queuing algorithm with a calendar scheduler. We present WINKS, a proportional share allocation policy that addresses the needs of shared server environments. It extends start-time fair queuing to support wide requests with backfill, advance reservations, dynamic cluster sizing, dynamic request sizing, and intra-flow request prioritization. It also preserves fairness properties across queue transformations and calendar operations needed to implement these extensions. |
| Starting Page | 461 |
| Ending Page | 462 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781605580050 |
| DOI | 10.1145/1375457.1375521 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-06-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Virtual computing Cluster computing Weighted fair queuing Fair sharing Proportional sharing |
| Content Type | Text |
| Resource Type | Article |
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