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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Zhu Bo Gao Zhihu Wang Reinwald, B. Changjie Guo Xiaoping Li Wei Sun |
| Copyright Year | 2011 |
| Abstract | In Database-as-a-Service (DBaaS), a large number of tenants share DBaaS resources (CPU, I/O and Memory). While the DBaaS provider runs DBaaS to "share" resources across the entire tenant population to maximize resource utilization and minimize cost, the tenants subscribe to DBaaS at a low price point while still having resources conceptually "isolated" according to service level agreements (SLAs). To optimize this dichotomy of goals, we propose a dynamic resource allocation framework that periodically re-allocates resources to tenants to maximize resource utilization while tolerating a low risk of SLA violations. We model the resource allocation problem as a modified unbounded knapsack problem. The model introduces an additional fairness constraint to assign residual resources to active tenants, while avoiding that few tenants consume all residual resources. Performed experiments demonstrate the effectiveness and efficiency of the proposed allocation algorithm for a synthetic workload with burstiness and predicted tenant behavior. |
| Starting Page | 564 |
| Ending Page | 571 |
| File Size | 1235445 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457708428 |
| DOI | 10.1109/ICWS.2011.64 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Monitoring Dynamic scheduling Heuristic algorithms Servers Noise Time series analysis dynamic resource allocation DBaaS multi-tenancy |
| Content Type | Text |
| Resource Type | Article |
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