Energy Aware Load Balancing In Cloud Computing Using Virtual Machines
Ramani, Maunika M
Bohara, Mohammed H
- Publisher: Journal of Engineering Computers & Applied Sciences
Journal of Engineering Computers & Applied Sciences
Computer Sciences | Cloud computing, Datacenter, Virtual machine, Workload, Energy consumption
Cloud computing offers business-oriented IT resources and IT services delivery as a utility to users worldwide. The fast growing rate of the usage of large-scale data centers on cloud has demand for computational power. Datacenters hosting cloud applications consume huge amounts of electrical energy. As a result, the cost is assisting by energy consumption and cooling of the datacentre. It may increase overall investment on the computing. Therefore, minimization of energy consumption and balance the temperature of resources are a most important in Cloud Computing.
We are working on VM migration mechanism. The objective is reducing the energy consumption with thermal aware load-balancing in a Cloud center. Energy savings are achieved by continuous consolidation of VMs according to current utilization of resources and thermal temperature of computing nodes. In my propose work, we have considered the situation of over-utilization, under-utilization using resource utilization threshold and control temperature of the host using temperature threshold.