Grid is a distributed high performance computing paradigm that offers various types of
resources (like computing, storage, communication) to resource-intensive user tasks. These …

Grid computing is a connected computing infrastructure that furnishes reliable, stable,
ubiquitous, and economic access to high-end computational power. The dynamic nature of …

Recent advancement in meta-heuristics grid scheduling studies have applied various
techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Ant …

Grid resource allocation mechanism maps tasks to the available grid resources according to
some predefined criterion, such as minimizing makespan or execution cost, load balancing …

Grid Computing has emerged as an important new field focusing on resource sharing. One
of the most challenging issues in Grid Computing is efficient scheduling of tasks. In this …

In recent years, the fast evolution in the industry of computer hardware such as the
processors, has led the application developers to design advanced software's that require …

For real-time applications, task scheduling is a problem of paramount importance. Several
scheduling algorithms were proposed in the literature, starting from static scheduling or …

High-performance computing comprises thousands of processing powers in order to deliver
higher performance computation than a typical desktop computer or workstation in order to …

Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we
need a good job scheduling algorithm to assign jobs to resources in grids. The main scope …

Grid Computing has emerged as an important new field focusing on resource sharing. One
of the most challenging issues in Grid Computing is efficient scheduling of tasks. Load …