Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
Optimal Dynamic Control of Resources in a Distributed System
IEEE Transactions on Software Engineering
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Using Reflection to Support Dynamic Adaptation of System Software: A Case Study Driven Evaluation
Proceedings of the 1st OOPSLA Workshop on Reflection and Software Engineering: Reflection and Software Engineering, Papers from OORaSE 1999
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
Modern communications, especially mobile communications, face unpredictable environments. Adaptation to unpredictable environments is necessary for modern communications. The communication systems self-tuning to track changes in the environments are called the adaptive communication systems. The systems can be viewed as a special kind of feedback control systems with the elements of sensor, decision-element or controller, and actuator. This paper focuses the decision-element. The decision-element uses optimal policies based on QoS with Markov Decision Process, which seek to satisfy a set of system QoS. The simulation results show that communication system adaptation can be guided by decision rules based on QoS found by the methods of Markov Decision Processes, when there are multiple controlled features, and multiple system measures used to drive the decisions.