• PRABHJOT KAUR
• RAJESH KUMAR BAWA

The cloud computing is a field in which the resource constrained VMs are utilized for processing the upcoming cloudlets. There are various factors that influence the job allocation process. This study introduces a novel approach E-VM-FT and E-VMG-FT for scheduling the process of the job assignment to the available cloudlets at the cost of minimum energy consumption and VM migration. For achieving the purpose, the job assignment to the VM is done by matching the processing requirements of the job to the processing capability of the VMs. For initializing the job allocation, firstly, the VMs are arranged in a sorted order and E-VM-FT is applied. In case if any cloudlet is found to be leftover due to its processing requirements, then the particular cloudlet is divided into modules and allotted to the VMs on the basis of the availability of the VMs. But in case if there is no availability of VM then the request for creating new VM is generated to the server and the new will be generated if and only if there is an availability of the space on cloud server for handling the new VM. After implementing the proposal it is observed that the “E-VM-FT” and “E-VMG-FT” consumes less energy consumption and perform minimum VM migrations in comparison to the other traditional techniques.

Cloud Computing, Virtual Machine Migration, Energy Consumption, Resource Utilization.

"A Load Balancing and Management Approach With Effective Resource Utilization in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.631-636, September-2018, Available :http://www.jetir.org/papers/JETIR1809128.pdf

"A Load Balancing and Management Approach With Effective Resource Utilization in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp631-636, September-2018, Available at : http://www.jetir.org/papers/JETIR1809128.pdf