A broker-based framework for multi-cloud workflows

MultiCloud 2013 - Proceedings of the International Workshop on Multi-Cloud Applications and Federated Clouds

Volumn , Issue , 2013, Pages 61-68

  Jrad, Foued ^a   Tao, Jie ^a   Streit, Achim ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Cloud Broker; Cloud Computing; Cloud Workflow; Intercloud Computing; Multi Cloud

Indexed keywords

CLOUD BROKERS; CLOUD WORKFLOW; COMPUTATIONAL SCIENCE; DEPLOYMENT SCENARIOS; EMERGING TECHNOLOGIES; INTER CLOUDS; MULTI-CLOUD; WORKFLOW APPLICATIONS;

CLOUD COMPUTING; INFORMATION MANAGEMENT;

QUALITY OF SERVICE;

EID: 84879740584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2462326.2462339     Document Type: Conference Paper

References (17)

1. G. B. Berriman, E. Deelman, J. C. Good, J. C. Jacob, D. S. Katz, C. Kesselman, A. C. Laity, T. A. Prince, G. Singh, and M.-H. Su. Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand. In Proceedings of the Society of Photo-Optical Instrumentation Engineers Conference, volume 5493 of SPIE 04, pages 221-232, September 2004.
2. R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. D. Rose, and R. Buyya. CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms. Software: Practice and Experience, 41(1): 23-50, January 2011.
3. R. N. Calheiros, C. Vecchiola, D. Karunamoorthy, and R. Buyya. The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds. Future Generation Computer Systems, 28(6): 861-870, June 2012.
4. W. Chen and E. Deelman. WorkflowSim: A Toolkit for Simulating Scientific Workflows in Distributed Environments. In Proceedings of the 8th IEEE International Conference on eScience, Chicago, USA, October 2012.
5. D. de Oliveira, E. Ogasawara, F. Baião, and M. Mattoso. SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows. In Proceedings of the 3rd IEEE International Conference on Cloud Computing, CLOUD '10, pages 378-385, Washington, DC, USA, 2010.
6. E. Deelman, G. Juve, and G. B. Berriman. Using Clouds For Science, is it Just Kicking The Can Down the Road? In Proceedings of the International Conference on Cloud Computing and Services Science, CLOSER 2012, pages 127-133, Porto, Portugal, April 2012.
7. B. Demuth, S. Bernd, H. Sonja, M. D. Jason, G. André, H. Valentina, and S. Sulev. The UNICORE Rich Client: Facilitating the Automated Execution of Scientific Workflows. In Proceedings of 6th IEEE International Conference on eScience, pages 238-245, 2010.
8. J. O. Gutierrez-Garcia and K. M. Sim. Agent-based Cloud Workflow Execution. Integrated Computer-Aided Engineering, 19: 39-56, 2012.
9. M. Hardt, T. Jejkal, I. Campos, E. Fernandez, A. Jackson, D. Nielsson, B. Palak, and M. Plociennik. Transparent Access to Scientific and Commercial Clouds from the Kepler Workflow Engine. Computing and Informatics, 31: 1001-1015, 2012.
10. F. Jrad, J. Tao, R. Knapper, C. M. Flath, and A. Streit. A utility-based approach for customised cloud service selection. Int. J. Computational Science and Engineering, forthcoming.
11. F. Jrad, J. Tao, and A. Streit. SLA Based Service Brokering in Intercloud Environments. In Proceedings of the International Conference on Cloud Computing and Services Science, CLOSER 2012, pages 76-81, Porto, Portugal, April 2012.
12. G. Juve and E. Deelman. Scientific Workflows in the Cloud, pages 71-91. Computer Communications and Networks. Springer London, 2011.
13. G. Juve, E. Deelman, G. Berriman, B. P. Berman, and P. Maechling. An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2. Journal of Grid Computing, 10: 5-21, 2012.
14. S. Pandey, D. Karunamoorthy, and R. Buyya. Workflow Engine for Clouds, pages 321-344. John Wiley, Inc, 2011.
15. I. Raicu, I. T. Foster, and Y. Zhao. Many-Task Computing for Grids and Supercomputers. In Proceedings of the IEEE Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS 08, pages 1-11, Austin, TX, USA, November 2008.
16. J. Tao, D. Franz, H. Marten, and A. Streit. An Implementation Approach for Inter-Cloud Service Combination. International Journal on Advances in Software, 5: 65-75, 2012.
17. J. Yu and R. Buyya. A Taxonomy of Scientific Workflow Systems for Grid Computing. SIGMOD Rec., 34(3): 44-49, September 2005.