Semantic Analysis of Energy Consumption for Estimating SLA Violation with Virtual Machine Provisioning Schema using DVFS
Power consumption is one of the major expense in IT industry which has attracted the attentions of various data centers which deploys huge quantity of power supply. So attempt to reduce energy utilization is very prime concern in cloud computing as it supports various real-time services. In this research work, we present an in-depth analysis of power consumption at a core model of cloud computing in order to visualize the risk factors which is responsible for draining energy in data centers. We create a energy analysis which will consist of various cloudlet-IDs with estimation of SLA violation along with virtual machine migration with complete status capturing. Various power host will be designed as real time virtual machine along with provisioning of various processing elements (PE) of datacenters using dynamic voltage frequency scaling methodology. The simulation will be designed in java environment to show the performance of our analysis approach to reduce energy consumption.
Keywords: Power consumption, Cloud Computing, Data center.
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ABOUT THE AUTHORS
Arunadevi M
Presently an research scholar in Mother Teresa Women\'s University, India
R. S. D Wahidabanu
Co-Authored books on 1.Object Oriented Programming 2.Visual Programming. 3. One chapter namely ‘ Data Mining Association Rules for making Knowledgeable decisions†is coauthored with A.V. Senthilkumar in a book titled Data mining applications for empowering knowledge societies, Idea Group Inc., USA ISBN 978-1-599904-657-0
Arunadevi M
Presently an research scholar in Mother Teresa Women\'s University, India
R. S. D Wahidabanu
Co-Authored books on 1.Object Oriented Programming 2.Visual Programming. 3. One chapter namely ‘ Data Mining Association Rules for making Knowledgeable decisions†is coauthored with A.V. Senthilkumar in a book titled Data mining applications for empowering knowledge societies, Idea Group Inc., USA ISBN 978-1-599904-657-0
