期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：4
页码：1659-1674
出版社：TechScience Publications
摘要：This paper, proposes an enhanced ant colony scheduling algorithm combined with the concept of RASA. The Grid Environment has various operating systems, hardware, and software, different storage capacities, CPU speeds, network connectivities and technologies. Deployment is a very important phase as it bridges the gap between the user sytem (the resourses) and the grid (the resources).The first step for this to select a set of computers and a network connections (switching, routers, Ethernet, Myrinet Etc.,) for an application. A task algorithm from RASA first estimates the completion time of the tasks on each of the available grid resources and then applies the Max-min and Min-min algorithms. Allocation of resources to a large number of jobs in a grid computing environment is more difficulty than in network computational environments. Resources to jobs will be allotted by resource discovery and filtering automatically which is composed of the selection of resources, idea specific scheduling and job submission. This algorithm is evaluated using the simulated execution times for a grid environment.ance
