Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 11, Pages: 1-8
K. Muthu Pandi1* and K. Somasundaram2
1Bharathiar University, Coimbatore - 641046, Tamil Nadu, India; [email protected] 2Department of CSE, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai - 600062, Tamil Nadu, India; [email protected]
*Author for correspondence
K. Muthu Pandi
Bharathiar University, Coimbatore - 641046, Tamil Nadu, India; [email protected]
Background: Cloud computing has been widely used to refer different technologies, services and concepts. It is associated with virtualized infrastructure or hardware on-demand. There exist many challenges especially in energy management on datacenter. To analyze the energy consumptions in datacenter, monitor the types of services which are offered by cloud computing to users. Statistical analysis: The parameters are analyzed and calculate the power usages in the different states, like server level, cluster level in the datacenter and are recorded in real time. The results are obtained at different level and helps to optimize the servers in data center, the server level optimization, consolidation and load balancing between the servers are achieved which helps to consume less in power in the cloud. Findings: Based on the statistical analysis, the server consolidation and optimization are required in the cloud environment. This paper mainly focused on application virtualization and desktop virtualization in cloud environment. From the identified the gap between server consolidation and optimization, created an experimental setup and continuously monitor the CPU usage, memory usage, Disk and network usage parameters. The Power consumption was calculated based on the above mentioned parameters which help to reduce the energy consumption in data center. Applications/Improvements: The analysis parameters are experimented in the laboratory which are helped to consume less power and reduced the carbon emission in the data center. This helps to achieves green cloud environment in data center.
Keywords: Green Cloud, Server consolidation, Virtualization, Virtual Desktop
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