NDLI: A capacity management service for resource pools

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A capacity management service for resource pools

Content Provider	ACM Digital Library
Author	Andrzejak, Artur Arlitt, Martin Rolia, Jerry Cherkasova, Ludmila
Abstract	Resource pools are computing environments that offer virtualized access to shared resources. When used effectively they can align the use of capacity with business needs (flexibility), lower infrastructure costs (via resource sharing), and lower operating costs (via automation). This paper describes the Quartermaster capacity manager service for managing such pools. It implements a trace-based technique that models workload (e.g., application) resource demands, their corresponding resource allocations, and resource access quality of service. The primary advantages of the technique are its accuracy, generality, support for resource access qualities of service, and optimizing search method. We pose general capacity management questions for resource pools and explain how the capacity manager helps to address them in an automated manner. A case study demonstrates and validates the method on empirical data from an enterprise application. We show that the technique exploits much of the resource savings to be achieved from resource sharing and is significantly more accurate at estimating per-server required capacity than a benchmark method used in practice to manage a resource pool. Finally, we explain how the problems relate to other practices regarding enterprise capacity management and software performance engineering.
Starting Page	229
Ending Page	237
Page Count	9
File Format	PDF
ISBN	1595930876
DOI	10.1145/1071021.1071047
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-07-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Capacity management Shared resource pools Qos Simulation Utility computing Resource sharing Capacity planning
Content Type	Text
Resource Type	Article

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