Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Digital control system analysis and design (3rd ed.)
Digital control system analysis and design (3rd ed.)
A self-tuning fuzzy PI controller
Fuzzy Sets and Systems
Elastic Task Model for Adaptive Rate Control
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Feedback Control of Computing Systems
Feedback Control of Computing Systems
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Feedback Utilization Control in Distributed Real-Time Systems with End-to-End Tasks
IEEE Transactions on Parallel and Distributed Systems
Enhancing the Robustness of Distributed Real-Time Middleware via End-to-End Utilization Control
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
eQoS: Provisioning of Client-Perceived End-to-End QoS Guarantees in Web Servers
IEEE Transactions on Computers
Designing controllable computer systems
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
DEUCON: Decentralized End-to-End Utilization Control for Distributed Real-Time Systems
IEEE Transactions on Parallel and Distributed Systems
Adaptive Fuzzy Control for Utilization Management
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
FCS/nORB: A feedback control real-time scheduling service for embedded ORB middleware
Microprocessors & Microsystems
Using fuzzy control to maximize profits in service level management
IBM Systems Journal
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
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In a number of real-time applications such as target tracking, precise workloads are unknown a priori but may dynamically vary, for example, based on the changing number of targets to track. It is important to manage the CPU utilization, via feedback control, to avoid severe overload or underutilization even in the presence of dynamic workloads. However, it is challenge to model a real-time system for feedback control, as computer systems cannot be modeled via physics laws. In this paper, we present a novel closed-loop approach for utilization control based on formal fuzzy logic control theory, which is very effective to support the desired performance in a nonlinear dynamic system without requiring a system model. We mathematically prove the stability of the fuzzy closed-loop system. Further, in a real-time kernel, we implement and evaluate our fuzzy logic utilization controller as well as two existing utilization controllers based on the linear and model predictive control theory for an extensive set of workloads. Our approach supports the specified average utilization set-point, while showing the best transient performance in terms of utilization control among the tested approaches.