Hardware Based Distributive Power Migration and Management Algorithm for Cloud Environment

  • P. Prakash
  • G. Kousalya
  • Shriram K. Vasudevan
  • Kawshik K. Rangaraju
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 308)


In cloud computing setup of computers power consumption among the distributed computers needs to be minimal with every server running increases the power cost by an average of 50w-100w. A real time implementation of an algorithm to minimize the power consumed in a setup of a parent computer a PIC microprocessor and connected servers is needed to manage the unwanted waste in energy. The usual traditional scheduler doesn’t meet the requirements. We program the Microcontroller to implement our algorithm which ensured that minimum number of servers run for a given numbers of virtual machines. The Distributive Power Migration & Management Algorithm for Cloud Environment that uses the resources in an effective and efficient manner ensuring minimal use of power. The proposed algorithm performs computation more efficiently in a scalable cloud computing environment. The results indicate that the algorithm reduces up to 28% of the power consumption to execute services.


Cloud Computing Power saving Virtual machines Power migration Scalability Microcontroller 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gunaratne, C., Christensen, K., Nordman, B., et al.: Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR). Journal of IEEE Trans. Computer 57, 448–461 (2008)CrossRefMathSciNetGoogle Scholar
  2. 2.
    Heller, B., Seetharaman, S., Mahadevan, P.: Elastic Tree: Saving Energy in Data Center Networks. In: 7th USENIX Conference on Networked Systems Design and Implementation, Berkeley, USA, pp. 1–17 (2010)Google Scholar
  3. 3.
    Beloglazov, A., Buyya, R., Lee, Y., Zomaya, A.: A Taxonomy and Survey of Energy Efficient Data Centers and Cloud Computing. Journal of Advances in Computers 82, 47–111 (2011)CrossRefGoogle Scholar
  4. 4.
    Benini, L., Bogliolo, A., Micheli, G.: A Survey of Design Techniques for System-Level Dynamic Power Management. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 8, 299–316 (2000)CrossRefGoogle Scholar
  5. 5.
    Hyser, C., McKee, B., Garner, R., Watson, B.: Autonomic Virtual Machine Placement in the Data Center. HP Laboratories, HPL-2007-189 (2008)Google Scholar
  6. 6.
    Luigi, G., Lassonde, W., Khan, S., Valentini, G., et al.: An Overview of Energy Efficiency Techniques in Cluster Computing Systems. Journal of Cluster Computing (2011)Google Scholar
  7. 7.
    Lefévre, L., Orgerie, A.: Designing and evaluating an energy efficient Cloud. The Journal of Supercomputing 51(3), 352–373 (2010)Google Scholar
  8. 8.
    Liu, L., et al.: GreenCloud: a new architecture for green data center. In: Proc. of 6th International Conference on Autonomic Computing, Barcelona, Spain (2009)Google Scholar
  9. 9.
    Kothari, D.P., Vasudevan, S.K., Subashri, V., Ramachandran, S.: Analysis of Microcontrollers, 1st edn. Scientific International Publishing (2012) ISBN: 9789381714294Google Scholar
  10. 10.
    Kaplan, J., Forrest, W., Kindler, N.: Revolutionizing Data Center Energy Efficiency. Technical report, McKinsey & Company (2008)Google Scholar
  11. 11.
    Gartner Says Energy-Related Costs Account for Approximately 12 Percent of Overall Data Center Expenditures (2011),
  12. 12.
    Hussin, M., Latip, R.: Adaptive resource control mechanism through reputation-based scheduling in heterogeneous distributed systems. J. Comput. Sci. 9, 1661–1668 (2013), doi:10.3844/jcssp.2013.1661.1668CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • P. Prakash
    • 1
  • G. Kousalya
    • 2
  • Shriram K. Vasudevan
    • 1
  • Kawshik K. Rangaraju
    • 1
  1. 1.Department of Computer Science and EngineeringAmrita UniversityCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringCoimbatore Institute of TechnologyCoimbatoreIndia

Personalised recommendations