Open AccessVMS Mean and Minimum Utilization VM Selection Algorithm for Cloud Datacenter
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e1015.0285s20
Subject(s) - cloudsim , computer science , cloud computing , virtual machine , host (biology) , selection algorithm , algorithm , operating system , live migration , energy consumption , distributed computing , virtualization , selection (genetic algorithm) , engineering , artificial intelligence , ecology , electrical engineering , biology
Cloud datacenter provides the various resources on-demand for the end consumers on pay-per-use through internet connection. The request for computing resources has increased which leads to the growth of power consumption inside datacenters. The major challenge is how to balance the profits by decreasing the consumption of energy and violation of SLA. VM Consolidation techniques helps VMs to migrate between the host machines in reducing energy consumption, but again which VM to select for migration between the host machine is again the challenging task. In this paper VMs Mean and Minimum Utilization VM Selection Algorithm is proposed.To select the suitable VM’s in host machine for the migration, VMs Mean method is used which finds the lowest CPU utilizing VM. To test this algorithm CloudSim Toolkit is been used. The parameter such as EC, SLAV, PDM, ESV, VM migration and SLATAH is used as a metric to evaluate the Algorithm efficiency.