• Sakshi Grover Research Scholar, Department of Computer Science & Engineering, SBSSTC, Ferozepur, Punjab.
  • Mr. Navtej Singh Ghumman Assistant Professor, Department of Computer Science & Engineering, SBSSTC, Ferozepur, Punjab.


Cloud Computing is a technology that provides a platform for the sharing of resources such as software, infrastructure, application and other information. Cloud Computing is being used widely all over the world by many IT companies as it provides benefits to the users like cost saving and ease of use.  However with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy resulting in carbon dioxide emissions.  Power consumption is a key concern in data centers. That type of critical issues not only reduces the profit margin, but also has effect on high carbon production which is harmful for environment and living organisms. Reducing power consumption has been an important requirement for cloud resource providers not only to reduce operating costs, but also to improve system reliability. In research work, we have arranged the virtual machines in ascending order of the load. Cloudlets would be assigned to that virtual machine that has lesser load. Cloudlets are divided into three categories like high, medium and low on the basis of their instruction length. Dvfs approach which has been implemented in the paper would scale the power according to the length of the cloudlets. Three modes of Dvfs have been implemented in the research work. Various parameters like processing time, processing cost and total power consumed by all the cloudlets at the data center have been computed and analyzed. Cloudsim a toolkit for modeling and simulation of cloud computing environment has been used to implement and demonstrate the experimental results.

How to Cite
Grover, S., & Ghumman, M. N. S. (2016). POWER SAVING LOAD BALANCING STRATEGY USING DVFS IN CLOUD ENVIRONMENT. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 15(13), 7333-7341. https://doi.org/10.24297/ijct.v15i13.4801

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