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

被引：7
作者：
Ravindran, B [1 ]
Kachroo, P [1 ]
Hegazy, T [1 ]
机构：
[1] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2001年 / 31卷 / 02期
关键词：
adaptive resource management; asynchronous decentralized systems; feedback control; fuzzy-logic; real-time systems;
D O I：
10.1109/5326.941850
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present intelligent feedback control techniques for adaptive resource management in asynchronous, decentralized real-time systems. We propose adaptive resource management techniques that are based on feedback control theory and are designed using the intelligent control design paradigm. The controllers solve resource allocation problems that arise during run-time adaptation using the classic proportional integral derivative control functions and fuzzy logic. We study the performance of the controllers through simulation. The simulation results indicate that the controllers produce low missed deadline ratios and resource utilizations during situations of high workloads.
引用
收藏
页码：261 / 265
页数：5
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