Comparative Study of Two GA Based Task Allocation Models in Distributed Computing System

摘要：

Genetic Algorithm has emerged as a successful tool for optimization problems 1. Earlier, we proposed a task allocation model to maximize the reliability of Distributed Computing System(DCS) using genetic algorithm2. Our objective, in this work, is to use the same simple genetic algorithm to minimize the turnaround time of the task given to the DCS for execution and then to compare the resultant allocation with the allocation of maximal reliablity as obtained in 2. Comparisons of both the algorithms are made by illustrated examples and appropriate comments.

关键词： Distributed computing system task allocation reliability turnaround genetic algorithm

作者: Deo Prakash Vidyarthi Anil Kumar Tripathi Biplab Kumer Sarker Kirti Rani

作者单位: Department of Computer Science, Faculty of Science Banaras Hindu University, Varanasi-221005 INDIA Department of Computer Engineering, Institute of Technology Banaras Hindu University, Varanasi-22100 Department of Computer & Systems Engineering, Kobe University, JAPAN Department of Computer Science, Rani Durgavati University, Jabalpur, INDIA

会议类型: 国际会议

会议名称: Proceedings of The Fourth International Conference on Parallel and Distribyted Computing,Applications and Technologies(第四届并行与分布式计算应用与技术国际会议)

会议地点: 成都

会议语种:英文

页码: 458-462

在线出版日期: 2003-08-27（万方平台首次上网日期，不代表论文的发表时间）