We did analysis on Vm migration for three different datasets considering all the models. From the Figure 37, our proposed model has the highest number of migration of a single VM to be 68 and the VM’s which has less number of VM migration to be more for Planetlab datasets from this we can infer that there is less VM migrations.
Figure 37: VM migrations for Planetlab data
when we consider the UMKC datasets for VM migration, from the Figure 38 we can see that maximum number of times the VM migration happens to be 14 for our proposed model where as for other models its exceeds 14 and occurrence of VM migration for least number of times VM migration found to be more.
From the Figure 39, even though the graphs looks similar but when you have a close look at it, occurrence of VM migration found to be the highest for least number of times VM migration and the maximum number of a time the single VM migrates found to be 8.
Figure 38: VM migrations for UMKC data
REFERENCE LIST
[1] VMware Distributed Power Management: Concepts
and Usage. https://www.vmware.com/techpapers/2008/
vmware-distributed-power-management-concepts-and-1080.html.
[2] Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. A view of cloud computing. Communi- cations of the ACM 53, 4 (2010), 50–58.
[3] Beloglazov, A., and Buyya, R. Optimal online deterministic algorithms and adap- tive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurrency and Computation: Practice and Expe- rience 24, 13 (2012), 1397–1420.
[4] Bobroff, N., Kochut, A., and Beaty, K. Dynamic placement of virtual machines for managing sla violations. In Proc. of 2007 10th IFIP/IEEE International Symposium on Integrated Network Management(2007), IEEE, pp. 119–128.
[5] Boutaba, R., Zhang, Q., and Zhani, M. F. Virtual machine migration in cloud com- puting environments: Benefits, challenges, and approaches. In Communication In- frastructures for Cloud Computing, H. Mouftah and B. Kantarci, Eds. IGI-Global, USA, 2013, pp. 383–408.
[6] Calheiros, R. N., Ranjan, R., Beloglazov, A., De Rose, C. A., and Buyya, R. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experi- ence 41, 1 (2011), 23–50.
[7] Chhibber, A., and Batra, S. Security analysis of cloud computing. International Journal of Advanced Research in Engineering and Applied Sciences 2, 3 (2013), 2278–6252.
[8] Cleveland, W. S. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74, 368 (1979), 829–836.
[9] Cleveland, W. S. Visualizing Data. Hobart Press, 1993.
[10] Cleveland, W. S., and Loader, C. Smoothing by local regression: Principles and methods. In Statistical theory and computational aspects of smoothing. Springer, 1996, pp. 10–49.
[11] Fan, X., Weber, W.-D., and Barroso, L. A. Power provisioning for a warehouse-sized computer. ACM SIGARCH Computer Architecture News 35, 2 (2007), 13–23.
[12] Farahnakian, F., Pahikkala, T., Liljeberg, P., and Plosila, J. Energy aware consoli- dation algorithm based on K-nearest neighbor regression for cloud data centers. In Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on(2013), IEEE, pp. 256–259.
[13] Goiri, ´I., Juli`a, F., Fit´o, J. O., Mac´ıas, M., and Guitart, J. Resource-level QoS metric for CPU-based guarantees in Cloud providers. In International Workshop on Grid Economics and Business Models(2010), Springer, pp. 34–47.
[14] Maltais, M. Who owns your stuff in the cloud? Los Angeles Times (April 26,2012).
[15] Maurya, K., and Sinha, R. Energy conscious dynamic provisioning of virtual ma- chines using adaptive migration thresholds in cloud data center. International Jour- nal of Computer Science and Mobile Computing 2, 3 (2013), 74–82.
[16] Mell, P., and Grance, T. The NIST definition of cloud computing. Communications of the ACM 53, 6 (2010), 50.
[17] Metkar, G., Agrawal, S., and Singh, D. S. A live migration of virtual machine based on the dynamic threshold at cloud data centres. International Journal of Advanced Research in Computer Science and Software Engineering 3, 10 (2013), 401–405.
[18] Minas, L., and Ellison, B. Energy efficiency for information technology: How to reduce power consumption in servers and data centers. Intel Press, 2009.
[19] Nathuji, R., and Schwan, K. VirtualPower: Coordinated power management in vir- tualized enterprise systems. ACM SIGOPS Operating Systems Review 41, 6 (2007), 265–278.
[20] Park, K., and Pai, V. S. CoMon: a mostly-scalable monitoring system for PlanetLab. ACM SIGOPS Operating Systems Review 40, 1 (2006), 65–74.
[21] Prodan, R., and Ostermann, S. A survey and taxonomy of infrastructure as a service and web hosting cloud providers. In Proc. of 2009 10th IEEE/ACM International Conference on Grid Computing(2009), IEEE, pp. 17–25.
[22] Reiss, C., Wilkes, J., and Hellerstein, J. L. Google cluster-usage traces: For- mat + schema. Technical report, Google Inc., Mountain View, CA, USA, Nov. 2011. Revised 2012.03.20. Posted at http://code.google.com/p/googleclusterdata/ wiki/TraceVersion2.
[23] Reiss, C., Wilkes, J., and Hellerstein, J. L. Obfuscatory obscanturism: making workload traces of commercially-sensitive systems safe to release. In Proc. of 3rd International Workshop on Cloud Management (CLOUDMAN) (Maui, HI, USA, Apr. 2012), IEEE, pp. 1279–1286.
[24] Rimal, B. P., Choi, E., and Lumb, I. A taxonomy and survey of cloud computing systems. INC, IMS and IDC (2009), 44–51.
[25] Ryan, M. Cloud computing privacy concerns on our doorstep. Communications of the ACM 54, 1 (2011), 36–38.
[26] Takeda, S., and Takemura, T. A rank-based vm consolidation method for power saving in datacenters. Information and Media Technologies 5, 3 (2010), 994–1002.
VITA
Amarnath Beedimane Hanumantharaya was born on February 13, 1991 in Ban- galore, Karnataka, India. He was educated in local public schools and graduated from Visveswaraya Technological University in 2012 with B.E. degree in Electronics and Com- munication.