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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stillwell, M. Vivien, F. Casanova, H. |
| Copyright Year | 1990 |
| Abstract | We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology to share fractional node resources in a precise and controlled manner. Other VM-based scheduling approaches have focused primarily on technical issues or extensions to existing batch scheduling systems, while we take a more aggressive approach and seek to find heuristics that maximize an objective metric correlated with job performance. We derive absolute performance bounds and develop algorithms for the online nonclairvoyant version of our scheduling problem. We further evaluate these algorithms in simulation against both synthetic and real-world HPC workloads and compare our algorithms to standard batch scheduling approaches. We find that our approach improves over batch scheduling by orders of magnitude in terms of job stretch, while leading to comparable or better resource utilization. Our results demonstrate that virtualization technology coupled with lightweight online scheduling strategies can afford dramatic improvements in performance for executing HPC workloads. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 521 |
| Ending Page | 529 |
| Page Count | 9 |
| File Size | 664012 |
| File Format | |
| ISSN | 10459219 |
| Volume Number | 23 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Processor scheduling Memory management Scheduling Schedules Optimization Measurement batch scheduling. Cluster scheduler virtual machine vector bin packing high-performance computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computational Theory and Mathematics Hardware and Architecture |
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