Abstract
A recent fast growing development and demand in high performance computing has brought IT technocrats on forefeet to devise energy aware mechanisms so that CO2 emission can be reduced to a great extent. The resources in cloud data centers are always over provisioned in order to meet the peak workload. These resources consume a huge amount of energy, if used in their full capacity. By dynamically adopting the green computing policies as per current workload, the energy consumption of cloud data center can be reduced. In the present study, VM migration process has been discussed and the simulation driven results for evaluation of the proposed heuristic on the basis of static upper and lower limits allowed for CPU utilization have been presented. The comparative analysis of resource utilization and power consumption of a data center, with and without migration policy, reveals that a significant amount of power consumption can be reduced by VM migration and utilization of resources can be optimized.
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References
Vaquero, L.M., Merino, L.R., Caceres, J., Lindner, M.: A Break in the Clouds: Towards a Cloud Definition. In: ACM SIGCOMM Computer Communication Review, vol. 39(1), pp. 50–55 (2009).
Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems. In: Elsevier Science, vol. 25(6), pp. 599–616. Amsterdam, The Netherlands (2009).
Pettey, C.: Gartner estimates ICT industry accounts for 2 percent of global CO2 emissions, http://www.gartner.com/it/page.jsp?id=503867.
Jung, G., Joshi, K. R., Hiltunen, M. A., Schlichting, R. D., Pu, C.: A cost-sensitive adaptation engine for server consolidation of multitier applications. In: 10th ACM/IFIP/USENIX International Conference on Middleware, pp. 1–20, Urbana Champaign, USA (2009).
Zhu, X., Young, D., Watson, B.J., Wang, Z., Rolia, J., Singhal, S., Mckee, B.: Integrated capacity and workload management for the next generation data center. In: 5th International Conference on Autonomic Computing, pp. 172–181, Chicago, USA (2008).
Jung, G., Joshi, K. R., Hiltunen, M. A., Schlichting, R. D., Pu, C.: Generating adaptation policies for multi-tier applications in consolidated server environments. In: 5th IEEE International Conference on Autonomic Computing, pp. 23–32, Chicago, IL, USA (2008).
Elmroth, E., Larsson, L.: Interfaces for Placement, Migration, and Monitoring of Virtual Machines in Federated Clouds. In: 8th International Conference on Grid and Cooperative Computing, pp. 253–260 (2009).
Beloglazov, Buyya, R.: Adaptive Threshold-Based Approach for Energy- Efficient Consolidation of Virtual Machines in Cloud Data Centres. In: 8th International Workshop on Middleware for Grids, Clouds and e-Science, pp. 1–6 (2010).
Beloglazov, Buyya, R.: Energy Efficient Allocation of Virtual Machines in Cloud Data Centres. In: 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 577–578 (2010).
Voorsluys, W., Broberg, J., Venugopal, S., Buyya, R.: Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation. In: 1st International Conference on Cloud Computing, pp. 254–265, Beijing (2009).
Perez-Botero, D.: A Brief Tutorial on Live Virtual Machine Migration From a Security Perspective. Princeton University, USA (2011).
Mishra, M., Sahoo, A.: On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach. In: 4th International Conference on Cloud Computing. pp. 275–82 (2011).
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Minu Bala, Devanand (2016). Virtual Machine Migration: A Green Computing Approach in Cloud Data Centers. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_18
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DOI: https://doi.org/10.1007/978-981-10-0755-2_18
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