Paper Info
Title
Adaptive Fuzzy Control for Utilization Management
Abstract
An increasing number of real-time systems are embedded in mission critical systems such as target tracking systems, in which workloads may dynamically vary, for example, depending on the number of targets in the area of interest. Feedback control has been applied to support real-time performance in dynamic environments, producing promising initial results. However, mathematical system modeling necessary for feedback control is challenging. To reduce the difficulty of system modeling, we apply fuzzy control for direct nonlinear mappings between the utilization error (= targetutilization $-$ current utilization) and the workload adjustment required to achieve the target utilization via IF-THEN rules. Moreover, via online adaptation, our fuzzy controller can amplify or dampen its own fuzzy control signal, if necessary, to expedite the convergence to the desired utilization. In our simulation study, our approach quickly converges to the target utilization when the workload significantly changes. In contrast, the tested baselines oscillate between overload and underutilization.
Year
DOI
Venue
2008
10.1109/ISORC.2008.71
Object Oriented Real-Time Distributed Computing
Keywords
Field
DocType
own fuzzy control signal,increasing number,fuzzy controller,target utilization,mission critical system,adaptive fuzzy control,feedback control,utilization management,mathematical system,fuzzy control,utilization error,current utilization,adaptive control,feedback,cpu utilization,error correction,oscillations,system modeling,real time systems,real time,modeling
Control theory,Computer science,Workload,Fuzzy logic,Tracking system,Utilization management,Real-time computing,Systems modeling,Adaptive control,Fuzzy control system,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-3132-8
5
0.46
References 
Authors
12
2
Name
Order
Citations
PageRank
Mehmet H. Suzer1212.44
Kyoung-Don Kang256337.51