Technical Reports


Satisfying Service Level Objectives in a Self-Managing Resource Pool

Gmach, Daniel; Rolia, Jerry; Cherkasova, Lucy
HP Laboratories


Keyword(s): Resource Pool Management; Enterprise Workload Analysis; Differentiated Service; Quality of Service

Abstract: We consider a self-managing, self-organizing pool of virtualized computer servers that provides infrastructure as a service (IaaS) for enterprise computing workloads. A global controller automatically manages the pool in a top down manner by periodically varying the number of servers used and re-assigning workloads to different servers. It aims to use as few servers as possible to minimize power usage while satisfying per-workload service level requirements. Each server is self-organizing. It has a local workload manager that dynamically varies the capacity allocated to each workload to satisfy per-workload service level objectives. This paper evaluates the impact of four alternative workload manager policies on the quality of service provided by the resource pool. The policies include: i) a non-work-conserving feedback controller, ii) a work-conserving feedback controller, iii) a work-conserving feedback controller with fixed per-workload scheduling weights to support differentiated service, and iv) a work-conserving feedback controller with dynamic per-workload weight to provide differentiated service while minimizing penalties. A case study involving three months of data for 138 SAP applications shows that the work- conserving policy significantly outperforms the non- work-conserving policy. The dynamic weight policy is better able to minimize penalties than the other policies while treating workloads fairly. Our study offers insights into the trade-offs between performance isolation, efficient resource sharing, and quality of service.

11 Pages

Additional Publication Information: To be published in IEEE Int. Cont. on Self-Adaptive and Self-Organizing Systems (SASO 2009), September 14-18,2009

External Posting Date: July 21, 2009 [Abstract Only]. Approved for External Publication - External Copyright Consideration
Internal Posting Date: July 21, 2009 [Fulltext]

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