Title :
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
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;
Conference_Titel :
Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
Conference_Location :
Mashhad
DOI :
10.1109/ICTCK.2014.7033523
