Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference48 articles.
1. Toward fine-grained online task characteristics estimation in scientific workflows;da Silva,2013
2. G. Juve, A. Chervenak, E. Deelman, S. Bharathi, G. Mehta, K. Vahi, Characterizing and profiling scientific workflows, 29 (2013) 682–692. Special Section: Recent Developments in High Performance Computing and Security.
3. W. Chen, E. Deelman, Workflow overhead analysis and optimizations, in: Proceedings of the 6th Workshop on Workflows in Support of Large-scale Science, WORKS’11, 2011, pp. 11–20.
4. N. Muthuvelu, J. Liu, N.L. Soe, S. Venugopal, A. Sulistio, R. Buyya, A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids, in: Proceedings of the 2005 Australasian Workshop on Grid Computing and e-Research, vol. 44, 2005, pp. 41–48.
5. N. Muthuvelu, I. Chai, C. Eswaran, An adaptive and parameterized job grouping algorithm for scheduling grid jobs, in: Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on, vol. 2, 2008, pp. 975–980.
Cited by
43 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献