A clustering based coscheduling strategy for efficient scientific workflow execution in cloud computing-Reference-Cited by-同舟云学术

A clustering based coscheduling strategy for efficient scientific workflow execution in cloud computing

Author:

Deng Kefeng¹,Ren Kaijun¹,Song Junqiang¹,Yuan Dong²,Xiang Yang³,Chen Jinjun⁴

Affiliation:

1. School of Computer; National University of Defense Technology; Changsha Hunan 410073 P.R. China

2. Faculty of Information and Communication Technologies; Swinburne University of Technology; Melbourne PO Box 218 Victoria 3122 Australia

3. School of Information Technology; Deakin University; 221 Burwood Highway, Burwood Vic 3125 Australia

4. Faculty of Engineering and Information Technology; University of Technology; Sydney PO Box 123, Broadway NSW 2007 Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference40 articles.

2. Christina H Gaurang M Timothy F et al On the Use of Cloud Computing for Scientific Workflows IEEE Fourth International Conference on eScience 2008

3. Ewa D Gurmeet S Miron L et al The Cost of Doing Science on the Cloud: The Montage Example ACM IEEE conference on Supercomputing 2008

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