Resources allocation and scheduling approaches for business process applications in Cloud contexts

CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science

Volumn , Issue , 2012, Pages 496-503

  Bessai, Kahina ^a   Youcef, Samir ^b   Oulamara, Ammar ^b   Godart, Claude ^b   Nurcan, Selmin ^a  

^a UNIVERSITÉ PARIS 1 PANTHÉON SORBONNE   (France)

^b UNIVERSITÉ DE LORRAINE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOCATION STRATEGY; AMAZON EC2; BUSINESS PROCESS; BUSINESS PROCESS EXECUTION; CLOUD COMPUTING PLATFORMS; COMPUTE RESOURCES; DISTRIBUTED CLOUDS; ELASTIC COMPUTING; ON DEMANDS; RESOURCES ALLOCATION; VIRTUAL MACHINES;

COMPUTER SIMULATION; RESOURCE ALLOCATION; SCHEDULING;

CLOUD COMPUTING;

EID: 84874235131     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CloudCom.2012.6427530     Document Type: Conference Paper

References (23)

1. Workflow Management Coalition: Terminology & Glossary, WfMC-TC-1011, 1999.
2. K. Bessai, S. Youcef, A. Oulamara, C. Godart, S. Nurcan, Bi-criteria workflow tasks allocation and scheduling in Cloud computing environments, Cloud Computing 2012, pp. 638-645.
3. K. Bessai, S. Youcef, A. Oulamara, C. Godart, S. Nurcan, Multi-objective Resources Allocation Approaches for Workflow Applications in Cloud Environments, OTM 2012 Workshops, LNCS 7567, pp. 654-657, 2012.
4. R. Buyya, S. Pandey and C. Vecchiola,Cloudbus toolkit for marketoriented cloud computing, In CloudCom'09: Proceedings of the 1st International Conference on Cloud Computing, volume 5931 of LNCS, pp. 24-44, Springer, Germany, December 2009.
5. P. Mell, T. Grance, The NIST Definition of Cloud Computing, (Draft)-Recommendations of the National Institute of Standards and Technology. Special publication 800-145 (draft), Gaithersburg (MD).
6. R. Buyya, S. Pandey and C. Vecchiola, Cloudbus toolkit for marketoriented cloud computing, In CloudCom'09: Proceedings of the 1st International Conference on Cloud Computing, volume 5931 of LNCS, pp. 24-44, Springer, Germany, December 2009.
7. G. Juve and E. Deelman, Scientific Workflows in the Cloud, in Grids, Clouds and Virtualization, M. Cafaro Eds. Springer, pp. 71-91, 2010.
8. G. Juve, E. Deelman, K. Vahi,, G. Mehta, B. Berriman, B. P. Ber-man and P. Maechling, Scientific workflow applications on Amazon EC2. In Cloud Computing Workshop in Conjunction with e-Science, Oxford, UK, 2009, IEEE.
9. A. V. Mladen, Cloud Computing-Issues, Research and Implementations, in Journal of Computing and Information Technology, Volume 16, Issue 4, 2008, pp. 235-246.
10. E. Deelman, D. Gannon, M. Shields and I. Taylor, Workflows and e-Science: An overview of workflow system features and capabilities, Future Generation Computer Systems, Volume 25, Issue 5, pp. 528-540, 2009.
11. H. Topcuoglu, S. Hariri, M. Y . Wu, Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing, IEEE Transactions on Parallel and Distributed Systems, Volume 13, Issue 3, 2002.
12. J. D. Ullman, NP-Complete Scheduling Problems, J. Computer and Systems Sciences, Volume 10, pp.3 84-393, 1975.
13. M. R. Gary and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W.H. Freeman and Co., 1979.
14. H. Hoogeveen,Multicriteria scheduling, In European Journal of Operational Research 167, pp. 592-623, 2005.
15. M. Wieczorek, S. Podlipnig, R. Prodan, T. Fahringer, Bi-criteria Scheduling of Scientific Workfows for the Grid, Eighth IEEE International Symposium on Cluster Computing and the Grid, pp 9-16, 2008.
16. V. T'kindt, J. C. Billaut, Multicriteria Scheduling. theory, models and algorithms, Springer, 2nd Edition, 2006.
17. H. Topcuoglu, S. Hariri and M. Y. Wu, Performance effective and lowcomplexity task scheduling for heterogeneous computing, IEEE Trans. on Parallel and Distributed Systems, Volume 13, Issue 3, pp. 260-274, 2002.
18. E. Ilavarasan and P. Thambidurai, Low complexity performance effective task scheduling algorithm for heterogeneous computing environments, Journal of Computer Sciences, Volume 3, Issue 2, pp. 94-103, 2007.
19. J. Tordsson, R. Montero, R. Moreno-Vozmediano,and I. Llorente,Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers, Future Generation Computer Systems, Volume 28, Issue 2, pp. 358-367, 2012.
20. D. Breitgand, A. Marashini and J. Tordsson, Policy-driven service placement optimization in federated clouds., Technical report, IBM Haifa Labs, 2011.
21. R. V. den Bossche, K. Vanmechelen and J. Broeckhove, Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads, In Proceedings of the 3rd IEEE international conference on cloud computing, pp. 228-235, 2010.
22. R. Van den Bossche, K. Vanmechelen and J. Broeckhove, Cost-Efficient Scheduling Heuristics for Deadline Constrained Workloads on Hybrid Clouds, on Cloud Computing Technology and Science, IEEE International Conference, pp. 320-327, 2011.
23. R. Buyya, C. S. Yeo, and S. Venugopal, Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities, Proc. Of the 10th IEEE International Conference on High Performance Computing and Communications, 2008, pp. 5-13.