On the application of predictive control techniques for adaptive performance management of computing systems

Authors:
S. Abdelwahed;Jia Bai;Rong Su;N. Kandasamy
Affiliations:
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA;-;-;-
Venue:
IEEE Transactions on Network and Service Management
Year:
2009

Citing 0
Cited 2

A model-based approach to self-protection in computing system

Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Quantified Score

Hi-index	0.00

Visualization

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.