VMS Mean and Minimum Utilization VM Selection Algorithm for Cloud Datacenter
Sreenivasa B.L1, S Sathyanarayana2

1Sreenivasa B.L, Research Scholar, Assistant Professor, Bharathiar University, Coimbatore AIMIT, St Aloysius College, (Karnataka), India.
2Dr. S Sathyanarayana, First Grade Womens College, Mysore (Karnataka), India.
Manuscript received on 13 February 2020 | Revised Manuscript received on 20 February 2020 | Manuscript Published on 28 February 2020 | PP: 63-67 | Volume-8 Issue-5S February 2020 | Retrieval Number: E10150285S20/2020©BEIESP | DOI: 10.35940/ijrte.E1015.0285S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Energy Consumption (EC), SLA Violation (SLAV), Performance Degradation Due To Migration (PDM), Energy SLA Violation (ESV), VM Migration and SLA Violation Time Per Active Host (SLATAH), Minimum Utilization (MU), Virtual Machine (VM).
Scope of the Article: Cloud Resources Utilization in IoT