원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
vol.3 no.4
2010.12
pp.19-32
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Grid computing is a form of distributed computing involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographically dispersed organization. One of the scheduling techniques in Grid Computing is Tabu Search algorithm. A good scheduling algorithm is normally shows lower value of total tardiness and schedule time. The implementation Tabu Search algorithm was tested and evaluated on universal datasets using GridSim tool. The results indicate performance of tardiness is directly related to number of machines up to certain number of resources. Small and medium company can use grid in operation process because it saves cost and times.
목차
Abstract
1. Introduction
2. Methodology and Implementation
3. Experimental Results
3.1. Implementation Description on GridSim
3.2. Communication Scheme
3.3. Analysis of Results
4. Conclusion
References
1. Introduction
2. Methodology and Implementation
3. Experimental Results
3.1. Implementation Description on GridSim
3.2. Communication Scheme
3.3. Analysis of Results
4. Conclusion
References