HYBRIDIZATION OF MODIFIED ANT COLONY OPTIMIZATION AND INTELLIGENT WATER DROPS ALGORITHM FOR JOB SCHEDULING IN COMPUTATIONAL GRID

Autor:	P. Mathiyalagan, S. N. Sivanandam, K. S. Saranya
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	Grid Computing Grid Scheduling Ant Colony Optimization Intelligent Water Drops Pheromone Computer engineering. Computer hardware TK7885-7895
Zdroj:	ICTACT Journal on Soft Computing, Vol 4, Iss 1, Pp 651-655 (2013)
Druh dokumentu:	article
ISSN:	0976-6561 2229-6956
Popis:	As grid is a heterogeneous environment, finding an optimal schedule for the job is always a complex task. In this paper, a hybridization technique using intelligent water drops and Ant colony optimization which are nature-inspired swarm intelligence approaches are used to find the best resource for the job. Intelligent water drops involves in finding out all matching resources for the job requirements and the routing information (optimal path) to reach those resources. Ant Colony optimization chooses the best resource among all matching resources for the job. The objective of this approach is to converge to the optimal schedule faster, minimize the make span of the job, improve load balancing of resources and efficient utilization of available resources.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/2f34b395b568456192c63e5e749a789a Zobrazit plný text záznamu View record in DOAJ