Modern control engineering (3rd ed.)
Modern control engineering (3rd ed.)
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Control-theoretic dynamic frequency and voltage scaling for multimedia workloads
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Feedback–Feedforward Scheduling of Control Tasks
Real-Time Systems
Computer
Generators for Synthesis of QoS Adaptation in Distributed Real-Time Embedded Systems
GPCE '02 Proceedings of the 1st ACM SIGPLAN/SIGSOFT conference on Generative Programming and Component Engineering
A Hybrid Control Design for QoS Management
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Online Control for Self-Management in Computing Systems
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
A Model-Based Approach to Designing QoS Adaptive Applications
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Self-Optimization in Computer Systems via On-Line Control: Application to Power Management
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
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A significant challenge in constructing distributed real-time embedded systems for highly dynamic environments lies in assuring the Quality-of-Service (QoS) requirements. The dynamism inherent in the environment renders it impossible for static provisioning of the QoS requirements, thereby making it necessary to consider adaptive techniques. Feedback adaptation traditionally is the prerogative of control engineers, while, the DRE system must be designed by domain engineers. In this paper we propose the use of model-based techniques to raise the abstraction of control theoretic techniques and make them available to domain engineers. The paper presents, a graphical modeling environment, that we call Dynamic QoS Modeling Environment (DQME), that facilitates the design of QoS adaptive applications for DRE systems. DQME facilitates capture of the QoS adaptation as well as the functional aspects of the DRE system. A case study has been presented that demonstrates the use of DQME.