An Enhanced Strategy to Minimize the Energy Utilization in Cloud Environment to Accelerate the Performance

  • M. Vaidehi
  • V. Suma
  • T. R. Gopalakrishnan Nair
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 248)


The need for power consumption prevailing in data centers and increased demand for cloud structures as service entity has raised several issues in power management or energy optimizations in large scale computing. The increased demand for virtualization of all resources demands further increased power utilization leading to more expensive operation cost. Therefore, an efficient strategy would resolve the aforementioned issue and also assure to provide the required Quality of Service (QoS) of the cloud computing system. This paper introduces an Enhanced Dynamic Voltage and Frequency Scaling (EDVFS) along with a Single Threshold (ST) value to minimize the energy utilization and Service Level Agreements (SLA). This paper provides a case study comprising of job arrival pattern which is recorded from a monitoring system in order to analyze the energy utilization especially at peak hours when there is a cloud burst. The investigation results have led to the introduction of a mathematical approach, where in we have arrived at an Enhanced Dynamic Voltage and Frequency Scaling for the cloud computing system (EDVFS).


Cloud Computing Cross layer Cloud burst Energy utilization SLA Violations VM Migration 


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  1. 1.
    Beloglazov, A., Buyya, R.: Energy Efficient Resource Management in Virtualized Cloud Data Centers. In: 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (2010)Google Scholar
  2. 2.
    Chimakurti, L., Madhu Kumar, S.D.: Power Efficient Resource Allocation for Clouds Using Ant Colony Framework. In: 2011 arXiv: 1102.2608v1 [cs.DC] (February 13, 2011)Google Scholar
  3. 3.
    Mohan Raj, V.K., Shriram, R.: Power Aware Provisioning in Cloud Computing Environment. In: International Conference on Computer, Communication and Electrical Technology, ICCCET 2011, March 18-19 (2011)Google Scholar
  4. 4.
    Liu, S., Quan, G., Ren, S.: On-line Real Time Service Allocation and Scheduling for Distributed Data Centers. In: 2011 IEEE International Conference on Services Computing (2011)Google Scholar
  5. 5.
    Bai, Y., Liu, S., Sha, M., Lu, Y., Xu, C.: An Energy Optimization Protocol Based on Cross-Layer for Wireless Sensor Networks. 2008 Journal of Communications 3(6), 27–34 (2008)Google Scholar
  6. 6.
    Kim, K.H., Buyya, R., Kim, J.: Power Aware Scheduling of Bag – of – Tasks Application with Deadline Constraints on DVS – Enabled clusters. In: CCGRID, pp. 541–548 (2007)Google Scholar
  7. 7.
    Ge, R., Feng, X., Cameron, K.: Performance-Constrained Distributed DVS Scheduling for Scientific Applications on Power-Aware Clusters. In: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing. IEEE Computer Society, Washington, DC (2005)Google Scholar
  8. 8.
    Wang, L., von Laszewski, G., Dayal, J., Wang, F.: Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVF. In: 2010 10th IEEE/CAN International Conference on Cluster, Cloud and Grid Computing (2010)Google Scholar
  9. 9.
    Wolf, W.: Modern VLSI design, 3rd edn. Pearson Education (2007)Google Scholar
  10. 10.
    Beloglazov, A., Abawajy, J., Buyya, R.: Energy-Aware Resource Allocation Heuristics for Efficient Management of Data Centers for Cloud Computing. In: Future Generation Computer Systems (May 2011)Google Scholar
  11. 11.
    Mazzucco, M., Dyachuk, D., Deters, R.: Maximizing Cloud Provider’s Revenues via Energy Aware Allocation Policies. In: 2010 IEEE 3rd International Conference on Cloud Computing, pp. 131–138. IEEE (2010)Google Scholar
  12. 12.
    Rajkumar, B., Anton, B., Jemal, A.: Energy Efficient Management of Data center Resources for computing: Vision, Architectural Elements and Open Challenges. In: International Conference on Parallel and Distributed Processing Techniques and Applications (July 2010)Google Scholar
  13. 13.
    Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environment and evaluations of resource provisioning algorithms. In: Software: Practice and Experience, Wiley Press, NY (2010)Google Scholar
  14. 14.
    Kliazovich, D., Boury, P., Khan, S.U.: DENS: Data Center Energy Aware Network – Scheduling. In: 2010 IEEE/ACM International Conference on and Cyber, Physical and Social Computation, pp. 69–75 (2010)Google Scholar
  15. 15.
    Gajjar, S.H., Pradhan, S.N., Dasgupta, K.S.: Cross-Layer Architectural approaches for Wireless Sensor Networks. In: 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 557–562 (2011)Google Scholar
  16. 16.
    Suma, V., Deshpandey, B., Vaidehi, M., Gopalakrishnan Nair, T.R.: Cloud Computing for Microfinance. In: International Conference on Systemics, Cybernetics and Informatics (ICSCI 2012), Hyderabad, India Hyderabad, India, February 15-18 (2012)Google Scholar
  17. 17.
    Gopalakrishnan Nair, T.R., Vaidehi, M., Suma, V.: Improved Strategies for Enhanced Business Performance in Cloud-based IT Industries. In: 26th Indian Institute of Engineers Congress, IEI Congress 2011, Bangalore, December 16-18 (2011)Google Scholar
  18. 18.
    Gopalakrishnan Nair, T.R., Vaidehi, M., Rashmi, K.S., Suma, V.: An Enhanced Scheduling Strategy to Accelerate the Business Performance of the Cloud System. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds.) Proceedings of the InConINDIA 2012. AISC, vol. 132, pp. 461–468. Springer, Heidelberg (2012)Google Scholar
  19. 19.
    Gopalakrishnan Nair, T.R., Vaidehi, M.: Efficient Resource Arbitration and Allocation Strategies in Cloud Computing through Virtualization. In: 2011 International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE Xplore, China (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • M. Vaidehi
    • 1
  • V. Suma
    • 1
  • T. R. Gopalakrishnan Nair
    • 1
    • 2
  1. 1.Research and Industry Incubation CentreDayananda Sagar InstitutionsBangaloreIndia
  2. 2.ARAMCO International Endowed Chair, Technology and Information ManagementPrince Mohammad UniversityKhobarKingdom of Saudi Arabia

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