Thrusting Energy Efficiency for Data center in Cloud Computing Using Resource Allocation Techniques
G. A. Ramachandra · 2014
In recent development, complexity data intensive applications are increasing in cloud computing. We know that it can reduce investments, human resources and enhance productivity. Data centers play a key role with rapid growth online services of client demands in terms of providing the infrastructures as services (Iaas). For data intensive application requires more number of data centers and also massive amount of energy used to operating the servers. Due to increases in data centers in different locations its impact on environment in terms of increased the carbon footprint. We proposed virtual machine migration(VMM) technique to optimize data centers, satisfy performance resource allocation, reduce the server failures and also energy consumption. To reduce the energy consumption, we are proposed virtual machine placement and dynamic load balancing algorithms.