Hierarchical cloud service workflow scheduling optimization schema using heuristic generic algorithm;Optymalizacja planowania przeplywu hierarchicznego serwisów w chmurze przy wykorzystaniu algorytmu genetycznego

Przeglad Elektrotechniczny

Volumn 88, Issue 1 B, 2012, Pages 92-95

  Cheng, Bo ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Cloud service; Heuristic generic algorithm; Optimization; Scheduling; Workflow

Indexed keywords

EID: 84855269695     PISSN: 00332097     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Buyya, R., Yeo, C., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 2009, 25(6), 599-616.
2. Wu, Xiao Liu, Zhiwei Ni, Dong Yuan, Yun Yang. A market-oriented hierarchical scheduling strategy in cloud workflow systems. The Journal of Supercomputing, 2011, 59(1), 1-38.
3. Zhen Ye, Xiaofang Zhou, and Athman Bouguettaya. Genetic Algorithm Based QoS-Aware Service Compositions in Cloud Computing. In Proceedings of Database Systems for Advanced Applications, 2011, 321-334.
4. Gerardo Canfora, Massimiliano Di Penta, Raffaele Esposito, Maria Luisa Villani., An Approach for QoS-aware Service Composition based on Genetic Algorithms. In Proceedings of Genetic and Evolutionary Computation Conference, 2005.
5. Z. Wu, Z. Ni, L. Gu, X. Liu, A Revised Discrete Particle Swarm Optimisation for Cloud Workflow Scheduling. In Proceedings of 2010 International Conference on Computational Intelligence and Security, 2010,184-188.
6. OWL-S. DAML Services, http://www.daml.org/services/owl-s/.
7. Nebil Ben Mabrouk, Sandrine Beauche, Elena Kuznetsova, Nikolaos Georgantas, and Val erie Issarny. QoS-aware Service Composition in Dynamic Service Oriented Environment. Lecture Notes in Computer Science, 2009, 123-142
8. Yu J, Buyya R. Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms. Sci Program, 2006, (3), 217-230.
9. Abraham A, Buyya R. Nature's heuristics for scheduling jobs on computational grids. In Proceedings of 8th International Conference on Advanced Computing and Communication, 2000, 1-12.
10. Zeng L Z, Benatalah B, Dumas M. Quality driven web services composition. In Proceedings of the 12th International Conference on World Wide Web, 2003, 411-421