Allocating Modules to Processors in a Distributed System
IEEE Transactions on Software Engineering
Journal of Parallel and Distributed Computing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
IEEE Transactions on Parallel and Distributed Systems
Evaluation of Job-Scheduling Strategies for Grid Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
On the Design and Evaluation of Job Scheduling Algorithms
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
Job scheduling and processor allocation for grid computing on metacomputers
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part II
Using Ant Colony Optimization for SuperScheduling in Computational Grid
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
| Hi-index | 0.00 |
Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling in an important aspect of distributed computing. As grid computing is a form of distributed computing with heterogeneous resources working in a shared environment with no central control. The main aim of Grid scheduling is to increase the system throughput and to satisfy the job requirements from the available resources. In this paper we introduce a new resource requirement (RR) based task-scheduling algorithm for grid computing. The new algorithm is based on the resource requirement of the jobs. It has been tested in simulated grid environment. The experimental results showed a significant improvement in terms of a smaller makespan time in various applications.