Scalable Grid Resource Allocation for Scientific Workflows Using Hybrid Metaheuristics-Reference-Cited by-同舟云学术

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Scalable Grid Resource Allocation for Scientific Workflows Using Hybrid Metaheuristics

Published:2010 Issue: Volume: Page:256-267
ISSN:0302-9743
Container-title:Advances in Grid and Pervasive Computing
language:
Short-container-title:

Author:

Buss Georg,Lee Kevin,Veit Daniel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-13067-0_29.pdf

Reference22 articles.

1. Foster, I.: The grid: A new infrastructure for 21st century science. Physics Today 55(2), 42–47 (2002)

2. Deelman, E., et al.: Pegasus: A framework for mapping complex scientific workflows onto distributed systems. Scientific Programming 13(3), 219–237 (2005)

3. Broberg, J., Venugopal, S., Buyya, R.: Market-oriented grids and utility computing: The state-of-the-art and future directions. Journal of Grid Computing 6(3), 255–276 (2008)

4. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599–616 (2009)

5. Schnizler, B., Neumann, D., Veit, D., Weinhardt, C.: Trading grid services - a multi-attribute combinatorial approach. European Journal of Operational Research 187(3), 943–961 (2008)

Cited by 2 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

1. Trading of cloud of things resources;Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing;2017-03-22

2. An efficient resource allocation for maximizing benefit of users and resource providers in ad hoc grid environment;Information Systems Frontiers;2011-05-25

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