Feedback-based optimization of a private cloud

Future Generation Computer Systems

Volumn 28, Issue 1, 2012, Pages 104-111

  Ghanbari, Hamoun ^a,b   Simmons, Bradley ^a   Litoiu, Marin ^a   Iszlai, Gabriel ^b  

^a YORK UNIVERSITY   (Canada)

^b IBM TORONTO LAB   (Canada)

Author keywords

IaaS; Modeling; Optimization; PaaS; Private cloud; State estimation

Indexed keywords

APPLICATION LEVEL; CLIENT APPLICATIONS; FEEDBACK-BASED OPTIMIZATION; IAAS; OPTIMIZATION LOOP; OPTIMIZATION PROBLEMS; PAAS; PERFORMANCE MODEL; RESOURCE ALLOCATION ALGORITHMS; RESOURCE CONSUMPTION; RESOURCE SHARING; RUNTIMES; SERVICE LEVELS; TRACKING MODELS;

MODELS; PROFITABILITY; QUALITY OF SERVICE; RESOURCE ALLOCATION; STATE ESTIMATION;

OPTIMIZATION;

EID: 80052820595     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2011.05.019     Document Type: Conference Paper

References (32)

1. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield Xen and the art of virtualization SOSP '03: Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles 2003 ACM New York, NY, USA 164 177 (Pubitemid 40929695)
2. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R.H. Katz, A. Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, M. Zaharia, Above the clouds: a berkeley view of cloud computing, Tech. Rep. UCB/EECS-2009-28, EECS Department, University of California, Berkeley, February 2009. URL http://www.eecs.berkeley. edu/Pubs/TechRpts/2009/EECS-2009-28.html.
3. B. Hayes Cloud computing Communications of the ACM 51 7 2008 9 11
4. B. Rochwerger, D. Breitgand, E. Levy, A. Galis, K. Nagin, I.M. Llorente, R. Montero, Y. Wolfsthal, E. Elmroth, J. Caceres, M. Ben-Yehuda, W. Emmerich, and F. Galan The reservoir model and architecture for open federated cloud computing IBM Journal of Research and Development 53 4 2009 4 11
5. R. Buyya, C.S. Yeo, S. Venugopal, J. Broberg, and I. Brandic Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility Future Generation Computer Systems. 25 6 2009 599 616
6. H.H. Huang A control-theoretic approach to automated local policy enforcement in computational grids Future Generation Computer Systems 26 6 2010 787 796
7. C.S. Yeo, S. Venugopal, X. Chu, and R. Buyya Autonomic metered pricing for a utility computing service Future Generation Computer Systems 26 8 2010 1368 1380
8. W. Iqbal, M.N. Dailey, D. Carrera, and P. Janecek Adaptive resource provisioning for read intensive multi-tier applications in the cloud Future Generation Computer Systems 27 6 2011 871 879
9. L. Rodero-Merino, L.M. Vaquero, V. Gil, F. Galn, J. Fontn, R.S. Montero, and I.M. Llorente From infrastructure delivery to service management in clouds Future Generation Computer Systems 26 8 2010 1226 1240
10. M.A. Murphy, and S. Goasguen Virtual organization clusters: self-provisioned clouds on the grid Future Generation Computer Systems 26 8 2010 1271 1281
11. X. Liu, X. Zhu, P. Padala, Z. Wang, S. Singhal, Optimal multivariate control for differentiated services on a shared hosting platform, in: Decision and Control, 2007 46th IEEE Conference on, 2007, pp. 37923799.
12. J.Z. Li, J. Chinneck, M. Woodside, and M. Litoiu Fast scalable optimization to configure service systems having cost and quality of service constraints Proceedings of the 6th International Conference on Autonomic Computing 2009 ACM 159 168
13. J. Li, J. Chinneck, M. Woodside, M. Litoiu, and G. Iszlai Performance model driven QoS guarantees and optimization in clouds Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing 2009 IEEE Computer Society 15 22
14. H. Li, G. Casale, and T. Ellahi SLA-driven planning and optimization of enterprise applications Proceedings of the First Joint WOSP/SIPEW International Conference on Performance Engineering 2010 ACM 117 128
15. H.N. Van, F.D. Tran, and J.M. Menaud SLA-aware virtual resource management for cloud infrastructures IEEE Ninth International Conference on Computer and Information Technology 2009 IEEE 357 362
16. G. Tesauro, W.E. Walsh, and J.O. Kephart Utility-function-driven resource allocation in autonomic systems Proceedings of the Second International Conference on Automatic Computing 2005 IEEE Computer Society 342 343 (Pubitemid 43959647)
17. X. Wang, Z. Du, Y. Chen, S. Li, D. Lan, G. Wang, and Y. Chen An autonomic provisioning framework for outsourcing data center based on virtual appliances Springer Netherlands 11 3 2008 229 245
18. X. Wang, D. Lan, G. Wang, X. Fang, M. Ye, Y. Chen, and Q. Wang Appliance-based autonomic provisioning framework for virtualized outsourcing data center Proceedings of the Fourth International Conference on Autonomic Computing 2007 IEEE Computer Society 29
19. J. Sauvé, F. Marques, A. Moura, M.C. Samaio, J. Jornada, E. Radziuk, Sla design from a business perspective, in: DSOM 2005: Proceedings of the 16th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, 2005, pp. 7283.
20. I.n. Goiri, F. Julia, J. Ejarque, M.d. Palol, R.M. Badia, J. Guitart, and J. Torres Introducing virtual execution environments for application lifecycle management and sla-driven resource distribution within service providers Proceedings of the 2009 Eighth IEEE International Symposium on Network Computing and Applications, NCA '09 2009 IEEE Computer Society Washington, DC, USA 211 218
21. M. Comuzzi, C. Kotsokalis, G. Spanoudakis, and R. Yahyapour Establishing and monitoring slas in complex service based systems Proceedings of the 2009 IEEE International Conference on Web Services, ICWS '09 2009 IEEE Computer Society Washington, DC, USA 783 790
22. A. Ferrer, F. Hernández, J. Tordsson, E. Elmroth, C. Zsigri, R. Sirvent, J. Guitart, R. Badia, K. Djemame, W. Ziegler, et al. OPTIMIS: a holistic approach to cloud service provisioning, Future Generation Computer Systems (2011) (in press).
23. E. Kalyvianaki, T. Charalambous, and S. Hand Self-adaptive and self-configured CPU resource provisioning for virtualized servers using kalman filters Proceedings of the 6th International Conference on Autonomic Computing 2009 ACM Barcelona, Spain 117 126
24. T.F. Abdelzaher, K.G. Shin, and N. Bhatti Performance guarantees for web server end-systems: a control-theoretical approach IEEE Transactions on Parallel and Distributed Systems 2002 80 96 (Pubitemid 35037242)
25. G. Welch, G. Bishop, An introduction to the kalman filter, University of North Carolina at Chapel Hill, Chapel Hill, NC. URL http://www.cs.unc.edu/ ~welch/kalman/kalmanIntro.html.
26. R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De 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 2011 23 50
27. E.D. Lazowska, J. Zahorjan, G.S. Graham, and K.C. Sevcik Quantitative System Performance: Computer System Analysis Using Queueing Network Models 1984 Prentice-Hall, Inc. Upper Saddle River, NJ, USA
28. M. Arlitt, and T. Jin A workload characterization study of the 1998 world cup web site Network, IEEE 14 3 2000 30 37
29. A. Soror, U. Minhas, A. Aboulnaga, K. Salem, P. Kokosielis, and S. Kamath Automatic virtual machine configuration for database workloads ACM Transactions on Database Systems 35 1 2010 Article 7
30. H.C. Lim, S. Babu, J.S. Chase, and S.S. Parekh Automated control in cloud computing: challenges and opportunities Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds 2009 ACM New York, NY, USA 13 18
31. P. Huang, H. Peng, P. Lin, and X. Li Macroeconomics based grid resource allocation Future Generation Computer Systems 24 7 2008 694 700
32. H. Izakian, A. Abraham, and B.T. Ladani An auction method for resource allocation in computational grids Future Generation Computer Systems 26 2 2010 228 235