Abstract
Cloud Computing is a new paradigm of distributed computing that offers virtualized resources and services over the Internet. To offer Infrastructure-as-a-Service (IaaS) many Cloud providers uses a large data center which usage ranges 5% to 10% of capacity in average. In order to improve Cloud data center management and resources usage a Virtual Machine (VM) consolidation technique can be applied to increase workloads and save energy. Using VM consolidation, we introduce an artificial intelligence consolidation based in Pseudo-Boolean (PB) Constraints to find a optimal consolidation. To evaluate our PB consolidation approach we used the DInf-UFPR and Google Cluster scenario and the formulas are solved with two state-of-the-art solvers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud Computing. Tech. rep., EECS Department, University of California, Berkeley (2009)
Bossche, R., Vanmechelen, K., Broeckhove, J.: Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads. In: 3rd IEEE International Conference on Cloud Computing (CLOUD 2010), pp. 228–235. IEEE Computer Society (2010)
Corradi, A., Fanelli, M., Foschini, L.: Increasing Cloud Power Efficiency through Consolidation Techniques. In: 2011 IEEE Symposium on Computers and Communications (ISCC 2011), pp. 129–134. IEEE Computer Society (2011)
Ferreto, T.C., Netto, M.A.S., Calheiros, R.N., De Rose, C.A.F.: Server Consolidation with Migration Control for Virtualized Data Centers. Journal of Future Generation Computer Systems 27(8), 1027–1034 (2011)
Harmon, R., Auseklis, N.: Sustainable IT Services – Assessing the Impact of Green Computing Practices. In: 2009 Portland International Conference on Management of Engineering & Technology (PICMET 2009), pp. 1707–1717. IEEE Computer Society (2009)
Le Berre, D.: SAT4j – A Reasoning Engine in Java Based on the SATisfiability Problem, http://www.sat4j.org
Leavitt, N.: Is Cloud Computing Really Ready for Prime Time? Journal of Computer 42(1), 15–20 (2009)
Li, C.M., Manyà, F.: MaxSAT, Hard and Soft Constraints. In: Biere, A., Heule, M.J.H., van Maaren, H., Walsh, T. (eds.) Handbook of Satisfiability, vol. 185, ch. 19, pp. 613–631. IOS Press (2009)
Manquinho, V.: BSOLO – A Solver for Pseudo-Boolean Constraints, http://sat.inesc-id.pt/~vmm/research/
Marques-Silva, J.P., Lynce, I., Malik, S.: Conflict-Driven Clause Learning SAT Solvers. In: Biere, A., Heule, M.J.H., van Maaren, H., Walsh, T. (eds.) Handbook of Satisfiability, vol. 185, ch. 4, pp. 131–153. IOS Press (2009)
Marzolla, M., Babaoglu, O., Panzieri, F.: Server Consolidation in Clouds through Gossiping. In: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2011), pp. 1–6. IEEE Computer Society (June 2011)
Mehta, S., Neogi, A.: ReCon: A Tool to Recommend Dynamic Server Consolidation in Multi-cluster Data Centers. In: 2008 IEEE Network Operations and Management Symposium (NOMS 2008), pp. 363–370. IEEE Computer Society (2008)
Roussel, O., Manquinho, V.: Pseudo-Boolean and Cardinality Constraints. In: Biere, A., Heule, M.J.H., van Maaren, H., Walsh, T. (eds.) Handbook of Satisfiability, vol. 185, ch. 22, pp. 695–733. IOS Press (2009)
Sotomayor, B., Montero, R.S., Llorente, I.M., Foster, I.: Virtual Infrastructure Management in Private and Hybrid Clouds. IEEE Internet Computing 13(5), 14–22 (2009)
Umeno, H., Parayno, C., Teramoto, K., Kawano, M., Inamasu, H., Enoki, S., Kiyama, M., Aoyama, T., Fukunaga, T.: Performance Evaluation on Server Consolidation using Virtual Machines. In: 2006 SICE-ICASE International Joint Conference (SICE-ICCAS 2006), pp. 2730–2734. IEEE Computer Society (2006)
Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A Break in the Clouds – Towards a Cloud Definition. Journal of ACM SIGCOMM Computer Communication Review 39(1), 50–55 (2008)
Vogels, W.: Beyond Server Consolidation. Journal of ACM Queue 6(1), 20 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ribas, B.C., Suguimoto, R.M., Montaño, R.A.N.R., Silva, F., de Bona, L., Castilho, M.A. (2012). On Modelling Virtual Machine Consolidation to Pseudo-Boolean Constraints. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-34654-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34653-8
Online ISBN: 978-3-642-34654-5
eBook Packages: Computer ScienceComputer Science (R0)