Towards a meta-model of the Cloud Computing resource landscape

MODELSWARD 2013 - Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development

Volumn , Issue , 2013, Pages 111-116

  Chatziprimou, Kleopatra ^a   Lano, Kevin ^a   Zschaler, Steffen ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Cloud Computing; Meta model; Resources

Indexed keywords

COMPUTING RESOURCE; DATA CENTERS; INFRASTRUCTURE MANAGEMENTS; MAINTENANCE COST; META MODEL; OPTIMAL RECONFIGURATIONS; RESOURCE MANAGEMENT; RESOURCES;

CLOUD COMPUTING; ELASTICITY; MATHEMATICAL MODELS;

SOFTWARE DESIGN;

EID: 84878041330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Abdelzaher, T., Shin, K. G., and Bhatti, N. (2001). Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach. IEEE Transactions on Parallel and Distributed Systems.
2. Becker, S., Koziolek, H., and Reussner, R. (2009). The Palladio component model for model-driven performance prediction. J. Syst. Softw.
3. Chuen, C., Mark, T., Niyato, D., and Chen-khong, T. (2011). Evolutionary Optimal Virtual Machine Placement and Demand Forecaster for Cloud Computing. International Conference on Advanced Information Networking and Applications.
4. David Breitgand, Alessandro Maraschini, J. T. (2011). Policy-Driven Service Placement Optimization in Federated Clouds. Technical report, IBM Research.
5. Ferreto, T. C., Netto, M. A. S., Calheiros, R. N., and De Rose, C. A. F. (2011). Server consolidation with migration control for virtualized data centers. Future Generation Computer Systems.
6. Huber, N., Brosig, F., and Kounev, S. (2012). Modeling dynamic virtualized resource landscapes. In ACM SIGSOFT.
7. Josyula, Orr, P. (2012). Cloud Computing: Automating the Virtualized Data Center.
8. Khanna, G., Beaty, K., Kar, G., and Kochut, A. (2006). Application Performance Management in Virtualized Server Environments. In NOMS 2006, pages 373-381.
9. Kusic, D., Kephart, J. O., Hanson, J. E., Kandasamy, N., and Jiang, G. (2008). Power and performance management of virtualized computing environments via lookahead control. Cluster Computing.
10. Meng, X., Isci, C., Kephart, J., Zhang, L., Bouillet, E., and Pendarakis, D. (2010a). Efficient resource provisioning in compute clouds via VM multiplexing. In 7th international conference on Autonomic computing.
11. Meng, X., Pappas, V., and Zhang, L. (2010b). Improving the scalability of data center networks with traffic-aware virtual machine placement. In 29th conference on Information communications.
12. Piao, J. T. and Yan, J. (2010). A Network-aware Virtual Machine Placement and Migration Approach in Cloud Computing. In 9th International Conference on GCC, pages 87 -92.
13. Shrivastava, V., Zerfos, P., Lee, K.-w., Jamjoom, H., Liu, Y.-h., and Banerjee, S. (2011). Application-aware virtual machine migration in data centers. IEEE INFOCOM.
14. Stage, A. and Setzer, T. (2009). Network-aware migration control and scheduling of differentiated virtual machine workloads. In ICSE Workshop.
15. Tesauro, G., Jong, N., Das, R., and Bennani, M. (2006). A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. In ICAC '06.