STATE OF THE ART: TASK SCHEDULING ALGORITHMS IN A HETEROGENEOUS GRID COMPUTING ENVIRONMENT
Journal Title: Elysium Journal of Engineering Research and Management - Year 2014, Vol 1, Issue 1
Abstract
Grid Computing is the distributed form of parallel computing which is used to solve large scale and complicated Problems. Grid Task scheduling is a NP complete problem. It is used to schedule a task on an appropriate grid node. One of the main idea improve the performance of Grid is how tasks are mapped on to suitable resources. A schedule is said to be finest if it provides a solution to make use of the available resources efficiently. Several scheduling algorithm improves the make span but it causes a severe load imbalance. This paper presents an assessment of task scheduling algorithm based on various factors such as communication cost, execution time, memory requirements, node failure, task duplications and network behavior.
Authors and Affiliations
Hemamalini M, Srinath M V
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