A scheduling algorithm for grid environment based on multi agent systems and inspired by Cuckoo lifestyle

Author

Rezaee, Mahsa ; Chabok, Seyyed Javad Seyyed Mahdavi

Author_Institution

Comput. Eng. Dept., Islamic Azad Univ. Of Mashhad, Mashhad, Iran

fYear

2014

fDate

26-27 Nov. 2014

Firstpage

1

Lastpage

5

Abstract

Grid environment has provided abilities of sharing, selection and union of the heterogeneous resources distributed geographically. There are many issues and problems in these environments; one of the most important of them is the job and the resource scheduling. In the dynamic environments, performance and optimality can be achieved just by the use of a robust scheduling algorithm. The method used in this study is based on Multi Agent systems. The agent learning is inspired by Cuckoo´s life style and its nesting style. This method is very fast and also can make balance in workload between resources well, which leads to increase of system performance.

Keywords

grid computing; learning (artificial intelligence); multi-agent systems; resource allocation; scheduling; Cuckoo lifestyle; agent learning; dynamic environments; grid environment; heterogeneous resources; job scheduling; multiagent systems; nesting style; resource scheduling; robust scheduling algorithm; system performance; workload balance; Dynamic scheduling; Heuristic algorithms; Job shop scheduling; Learning systems; Scheduling algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Technology, Communication and Knowledge (ICTCK), 2014 International Congress on

Conference_Location

Mashhad

Type

conf

DOI

10.1109/ICTCK.2014.7033523

Filename

7033523