Improvement of Data Grids Performance by Combining Job Scheduling with Dynamic Replication Strategy
Dealing with a large amount of data makes the requirement for efficient data accesses more critical in Data Grid. Through improving performance of data replication, job execution cost is reduced. In this paper, we proposed a new strategy of replication based on organizing the data in Data Grid based on its property. Particularly, we organized the data into several data categories that it belongs to and this categorization helps improving data replication placement strategy. In addition, the paper also introduces Dataset Scheduler which helps optimize obtaining input data for job. The performance studies are conducted using simulation tool and prove the improvement of scheduling performance over current approaches.
Nhan Nguyen Dang Soonwook Hwang Sang Boem Lim
e-Science IT Team Korea Institute of Science and Technology Department of Advanced Technology Fusion Konkuk University
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
513-520
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）