Journal of Computer Science | |
Load Allocation Model for Scheduling Divisible Data Grid Applications | Science Publications | |
Shamala Subramaniam1  Hamidah Ibrahim1  Monir Abdullah1  Mohamed Othman1  | |
关键词: Data grid; scheduling; divisible load theory; | |
DOI : 10.3844/jcssp.2009.760.763 | |
学科分类:计算机科学(综合) | |
来源: Science Publications | |
【 摘 要 】
Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied but no optimal solution has been reached due to the heterogeneity of the grids. This study proposed a new optimal load allocation based on DLT model recursive numerical closed form solutions are derived to find the optimal workload assigned to the processing nodes. Conclusion/Recommendations: Experimental results showed that the proposed model obtained better solution than other models (almost optimal) in terms of Makespan.
【 授权许可】
Unknown
【 预 览 】
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RO201911300952236ZK.pdf | 95KB | download |