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Article type: Research Article
Authors: Khandekar, Mohit D.a | Kandasamy, Nagarajana; * | Abdelwahed, Sherifb | Sharp, Gregory C.c
Affiliations: [a] Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA | [b] Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN 37212, USA | [c] Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
Correspondence: [*] Corresponding author: Nagarajan Kandasamy, Electrical and Computer Engineering Department, 3141 Chestnut Street, Drexel University, Philadelphia, PA 19104, USA. Tel.: +1 215 895 1996; Fax: +1 215 895 1695; E-mail: [email protected]
Abstract: This paper describes a control-theoretic framework to design self-managing computing systems that continually optimize their quality-of-service (QoS) in response to changing computing demands and environmental conditions. A predictive control technique is used to tune the performance of individual system components based on their forecast behavior over a look-ahead horizon. As a specific application of this control technique, the power consumed by a single computer processing a time-varying workload is minimized. The proposed method can also be extended to a distributed setting where a global controller manages inter-component interactions such that system-wide QoS requirements are satisfied.
Keywords: Autonomic computing, self-managing systems, predictive control, processor power management
DOI: 10.3233/MGS-2005-1201
Journal: Multiagent and Grid Systems, vol. 1, no. 2, pp. 63-72, 2005
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