VMS Mean and FFD VM Allocation Algorithm for Cloud Data Center
Sreenivasa B.L1, S Sathyanarayana2

1Sreenivasa B.L, Research Scholar, Assistant Professor, Bharathiar University, Coimbatore AIMIT, St Aloysius College, Mangalore (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: 58-62 | Volume-8 Issue-5S February 2020 | Retrieval Number: E10140285S20/2020©BEIESP | DOI: 10.35940/ijrte.E1014.0285S20
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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: The datacenter power consumption is increasing speedily, because of the scalable and dynamic provisioning of resources to the remote consumers. Not efficiently utilizing the resource of host machine is the main reason for increase in power consumption. By efficiently placing the number of virtual machine in fewer active host and shutdown the inactive host could reduce the consumption of power in datacenter. In this paper VMs Mean and FFD Bin Packing Virtual Machine Placement Algorithm is proposed.FFD preprocess VM’s and Host’s by sorting all the VM’s by MIPS and Host’s by their power. To place the VM’s in host machine VMs Mean method is used which finds the lowest CPU utilizing VM. The main objective is to increase the host machine utilization by efficiently placing the VM’s into few active Host’s and also reduced the power consumption. 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), First Fit Decreasing (FFD), Virtual Machine (VM).
Scope of the Article: Cloud Computing