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An Effective Approach to Job Scheduling in Decentralized Grid Environment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kamalam, G. K. Bhaskaran, V. Murali |
| Copyright Year | 2011 |
| Abstract | Scheduling of jobs and resource management are the important challenging work in a grid environment. Processing time minimization of the jobs arriving at any computer site in a grid system is one of the major objectives in the research area of computing. In this paper, we propose a decentralized grid system model as a collection of clusters. We then introduce a decentralized job scheduling algorithms which performs intra cluster and inter cluster (grid) job scheduling. In this paper, we apply Divisible Load Theory (DLT) and Least Cost Method (LCM) to model the grid scheduling problem involving multiple resources within an intra cluster and inter cluster grid environment. The decentralized job scheduling algorithm is proposed for both reducing processing time and processing cost. The proposed decentralized hybrid job scheduling algorithm employs the DLT and LCM technique and decentralized divisible job scheduling algorithm employs DLT technique and produces reduced processing time and reduced processing cost. The result shows that the gap between the decentralized job scheduling algorithm and centralized job scheduling algorithm is widening as the number of jobs is increased. |
| Starting Page | 26 |
| Ending Page | 30 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Volume Number | 24 |
| Alternate Webpage(s) | http://www.ijcaonline.org/volume24/number1/pxc3873838.pdf |
| Alternate Webpage(s) | https://doi.org/10.5120/2914-3838 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
