Title :
Intelligent scheduler with fuzzy techniques and evolutionary management in heterogeneous computing systems
Author_Institution :
Dept. of Comput. Sci, Nat. T, Kiev, Ukraine
Abstract :
The paper describes an approach to solving the job scheduling problem in heterogeneous computing systems. In the proposed model, we use a fuzzy function to estimate and code the system´s states. Evolutionary management is applied to find the optimum schedule using offline knowledge or online algorithms. The new scheduling system provides significant improvement in scheduling quality and time, and is capable of self learning and self adjustment
Keywords :
fuzzy set theory; genetic algorithms; knowledge based systems; scheduling; self-adjusting systems; evolutionary management; fuzzy function; fuzzy techniques; heterogeneous computing systems; intelligent scheduler; job scheduling problem; offline knowledge; online algorithms; optimum schedule; scheduling quality; scheduling system; self adjustment; self learning; system states; Algorithm design and analysis; Annealing; Computer science; Cost function; Electronic mail; Fuzzy systems; Genetics; Optimal scheduling; Processor scheduling; Scheduling algorithm;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672750
