Intelligent scheduler with fuzzy techniques and evolutionary management in heterogeneous computing systems

Author

Hanh, Pham Hong

Author_Institution

Dept. of Comput. Sci, Nat. T, Kiev, Ukraine

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

122

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672750

Filename

672750