Journal article
On the application of predictive control techniques for adaptive performance management of computing systems
IEEE eTransactions on network and service management, v 6(4), pp 212-225
01 Dec 2009
Abstract
This paper addresses adaptive performance management of real-time computing systems. We consider a generic model-based predictive control approach that can be applied to a variety of computing applications in which the system performance must be tuned using a finite set of control inputs. The paper focuses on several key aspects affecting the application of this control technique to practical systems. In particular, we present techniques to enhance the speed of the control algorithm for real-time systems. Next we study the feasibility of the predictive control policy for a given system model and performance specification under uncertain operating conditions. The paper then introduces several measures to characterize the performance of the controller, and presents a generic tool for system modeling and automatic control synthesis. Finally, we present a case study involving a real-time computing system to demonstrate the applicability of the predictive control framework.
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38 citations in Scopus
Details
- Title
- On the application of predictive control techniques for adaptive performance management of computing systems
- Creators
- Sherif Abdelwahed - Mississippi State UniversityJia Bai - Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN, USARong Su - Eindhoven University of TechnologyNagarajan Kandasamy - Drexel University
- Publication Details
- IEEE eTransactions on network and service management, v 6(4), pp 212-225
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-75149130886
- Other Identifier
- 991019173661204721