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2009 13th International Conference on Computer Supported Cooperative Work in Design
A data-intensive workflow scheduling algorithm for large-scale cooperative work platform
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
Lizhen Cui, Dept. of Computer Science and Technology, Shandong University, Jinan, China
Meng Xu, Dept. of Computer Science and Technology, Shandong University, Jinan, China
Haiyang Wang, Dept. of Computer Science and Technology, Shandong University, Jinan, China
With the development of the society and the advancement of technology, the collaboration is being more and more important. A large-scale cooperative work platform is a platform which integrates computational, storage and network resources distributed in various organizations or locations and utilize these resources cooperatively to achieve one goal, such as an e-science or e-business platform. The data-intensive workflow on these platforms has gained much more attentions in recent times. Data-intensive workflow needs to access, process and transfer large datasets that may each be replicated on different data hosts. In this paper, we introduce an algorithm MDTT to select the resource set which the task should be mapped. Our experiments show that our algorithm is able to minimize the total makespan of data-intensive workflow and the time of data transferring.
Citation:
Lizhen Cui, Meng Xu, Haiyang Wang, "A data-intensive workflow scheduling algorithm for large-scale cooperative work platform," cscwd, pp.486-491, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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