International Conference on Advances in Emerging Technology |
Foundation of Computer Science USA |
ICAET2017 - Number 2 |
July 2018 |
Authors: Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar |
bc845d96-86fb-4552-a015-b57808dc331e |
Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar . Improvement in Genetic Algorithm for Virtual Machine Migration in Cloud Computing. International Conference on Advances in Emerging Technology. ICAET2017, 2 (July 2018), 29-33.
The cloud computing is the architecture in which hosts, virtual machines, brokers, virtual servers are involved in the communications. The cloud architecture is the de-centralized network for task migration, task allocation, security. This work is based on the task migration when virtual machine get overloaded at the time of cloudlet execution. The brokers are responsible to assign tasks to the most appropriate virtual machine for the execution. When any of the virtual machine get overloaded, the task is migrated from one virtual machine to another which can be decided by the improved genetic algorithm. The proposed and existing algorithms are implement in cloudsim and it analyze the execution time, space utilization. Execution time, space utilization is reduce by the proposed improvement.