Design and optimization of cloud-oriented workflow system

Journal of Software

Volumn 8, Issue 1, 2013, Pages 251-258

  Mao, Lei ^a   Yang, Yongguo ^a   Xu, Hui ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Cloud workflow; Deployment models; Distributed heterogeneous environment; IDCSA; Layered model; Style

Indexed keywords

CLOUD WORKFLOW; DEPLOYMENT MODELS; HETEROGENEOUS ENVIRONMENTS; IDCSA; LAYERED MODEL; STYLE;

ARTIFICIAL INTELLIGENCE;

SOFTWARE ENGINEERING;

EID: 84877595873     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.8.1.251-258     Document Type: Article

References (14)

1. R. Buyya, S. Pandey, and C. Vecchiola, Cloudbus toolkit for market-oriented cloud computing, in Proceedings of the 1st International Conference on Cloud Computing (CloudCom 2009, Springer, Germany), Beijing, China, December 14, 2011, pp. 78-84,.
2. C. Hoffa et al., On the Use of Cloud Computing for Scientific Workflows, 3rd International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES '09), 2009, 241-245
3. S. Pandey, W. Voorsluys, M. Rahman, R. Buyya, J. Dobson, and K. Chiu, "A grid workflow environment for brain imaging analysis on distributed systems, Con- currency and Computation": Practice and Experience, 21 (16), pp. 2118-2139, 2009
4. J. Yu et al., "A Taxonomy of Workflow Management Systems for Grid Computing", Journal of Grid Computing, vol. 3, pp. 121-125, 2011
5. E. Deelman et al., "Pegasus: A framework for mapping complex scientific workflows onto distributed systems", Scientific Programming, vol. 13, pp. 219-237, 2011
6. J. Yu and R. Buyya, "Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms", Scientific Programming Journal, Vol. 14, pp. 217-230, 2006
7. Google appEngine, http://code. google. com/appengine/, November 2009.
8. D. Nurmi et al., The Eucalyptus Open-source Cloudcomputing System, IEEE International Symposium on Cluster Computing and the Grid (CCGrid '09), Beijing, China, April, 2009, pp. 654-661,
9. F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. E. Gruber, Bigtable, A distributed storage system for structured data, Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation, Berkeley, CA, USENIX Association, 2006, pp. 15-17.
10. S. Ghemawat, H. Gobioff, and S. T. Leung, "The google file system", SIGOPS Operating System Review, Vol. 37, pp. 29-43, 2007
11. Akkan C, Drexl A, and Kimms A, "Network decomposition-based benchmark results for the discrete time-cost tradeoff problem". European Journal of Operational Research. 165(2). pp. 339-358, 2009
12. Jia Yu, Rajkumar Buyya, and Chen Khong Tham. Costbased scheduling of workflow applications on utility grids. The 1st IEEE Int'l Conf on e-Science and Grid Computing, Melbourne, Australia, IEEE Press. 2007, pp. 140-147.
13. Yuan Ying, Chun LI, and Qian Zhang, "Bottom Level Based Heuristic for Workflow Scheduling in Grids", Chinese Journal of Computer. 31, (2), pp. 282-290, 2011
14. Yuan Ying, Li Xiaoping, and Wang Qian, "Cost Optimization Heuristics for Grid Workflows Scheduling Based on Serial Reduction", Journal of Computer Research and Development. 45 (2), pp. 246-253, 2011