会议专题

A Different Approach for Allocating Tasks in a DCS Using A

In a Distributed Computing Systems (DCS) tasks may consist of multiple modules. Tasks submitted to a DCS, are usually partitioned into different modules and the modules may be allocated to different processing nodes so as to achieve minimum turn around time of the tasks utilizing the maximum resources of the existing system such as CPU speed, memory capacities etc. The problem lies on how to obtain the optimal allocation of these multiple tasks by keeping in mind that no processing node is overloaded due to this allocation. This paper proposes an algorithm A*RS using well-known A* which aims to reduce the search space and time for allocating the tasks by minimizing the turn around time of tasks in the way so that processing nodes do not become overloaded due to this allocation. Our experimental results justify the claims with necessary supports by comparing it with the earlier algorithm for multiple tasks allocation.

Distributed Computing System Task Allocation Inter Module Communication Multiple Task Allocation Load balancing

Biplab Kumer Sarker Anil Kumar Tripathi Deo Prakash Vidyarthi Kuniaki Uehara

Graduate School of Science and Technology, Kobe University, Kobe 657-8501, Japan Department of Computer Engineering, I.T, Banaras Hindu University, India Department of Computer Science, Banaras Hindu University, India

国际会议

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)

成都

英文

577-581

2003-08-27(万方平台首次上网日期,不代表论文的发表时间)