원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.6 No.2
2013.04
pp.29-38
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Computing Grid is a high performance computing environment that allows sharing of geographically distributed resources across multiple administrative domains and used to solve large scale computational demands. To achieve the promising potentials of computational grids, job scheduling is an important issue to be considered. This paper addresses scheduling problem of independent tasks on computational grids. A Hybrid Discrete Particle Swarm Optimization algorithm (HDPSO) and Min-min algorithm is presented to reduce overall execution time of task.
목차
Abstract
1. Introduction
2. Motivation
3. Related Works
4. Particle Swarm Optimization Algorithm
5. Grid Job scheduling based on Hybrid DPSO
6. Initial Swarm
7. Fitness Evaluation
8. Experimental Results
9. Discussion
10. Conclusions and Future work
References
1. Introduction
2. Motivation
3. Related Works
4. Particle Swarm Optimization Algorithm
5. Grid Job scheduling based on Hybrid DPSO
6. Initial Swarm
7. Fitness Evaluation
8. Experimental Results
9. Discussion
10. Conclusions and Future work
References
키워드
저자정보
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자료제공 : 네이버학술정보