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| Titel: |
Grid Scheduling Using Enhanced PSO Algorithm |
| Auteur: |
Mr. P.Mathiyalagan U.R.Dhepthie Dr. S.N.Sivanandam |
| Verschenen in: |
International journal on computer science and engineering |
| Paginering: | Jaargang 2 (2010) nr. 2 pagina's 140-145 |
| Jaar: |
2010 |
| Inhoud: |
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 is a fundamental issue in achieving high performance in grid computing systems. Acomputational GRID is typically heterogeneous in the sensethat it combines clusters of varying sizes, and differentclusters typically contains processing elements with differentlevel of performance. In this, a heuristic approach based on particle swarm optimization algorithm is adopted for solving task schedulingproblem in grid environment. Particle Swarm Optimization (PSO) is one of the latest evolutionary optimization techniques by nature. It has the better ability of global searching and has been successfully pplied to many areas such as, neural network training etc. Due to the linear decreasing of inertia weight in PSO the convergence ratebecomes faster, which leads to the minimal makespan time when used for scheduling. To make the convergence rate faster, the PSO algorithm is improved by modifying the inertia parameter, such that it produces better performance and gives an optimized result. |
| Uitgever: |
Engg Journals Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 71 van 127 gevonden artikelen
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