Intelligent feedback control-based adaptive resource management for asynchronous, decentralized real-time systems

We present intelligent feedback control techniques for adaptive resource ma nagement in asynchronous, decentralized real-time systems. We propose adapt ive resource management techniques that are based on feedback control theor y and are designed using the intelligent control design paradigm. The contr ollers solve resource allocation problems that arise during run-time adapta tion using the classic proportional integral derivative control functions a nd fuzzy logic. We study the performance of the controllers through simulat ion. The simulation results indicate that the controllers produce low misse d deadline ratios and resource utilizations during situations of high workl oads.