Journal article
An online predictive control framework for designing self-managing computing systems
Multiagent and grid systems, v 1(2), pp 63-72
01 Jan 2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- An online predictive control framework for designing self-managing computing systems
- Creators
- Mohit D. Khandekar - Drexel UniversityNagarajan Kandasamy - Drexel UniversitySherif Abdelwahed - Vanderbilt UniversityGregory C. Sharp - Massachusetts General Hospital
- Publication Details
- Multiagent and grid systems, v 1(2), pp 63-72
- Publisher
- Ios Press
- Number of pages
- 10
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000212564200001
- Scopus ID
- 2-s2.0-85006077847
- Other Identifier
- 991019167729504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Theory & Methods