Journal of Theoretical and Applied Information Technology
The crunch in resources and ability to serve the interest of customers with maximum efficiency and minimum resources has led to a wide range of research in cloud resource management. Various cloud service providers currently in the market are testing several algorithms to manage their resources and has not been able to strike a balance between service quality and energy management. Through the authors' paper they intend to strike a deal between energy and quality by maintaining both within preferred limits. They proposed an Efficient Energy Aware (EEA) analysis by introducing RHO (Ram based Host Overloading detection) algorithm. It has shown significant improvements over existing power aware host overloading detection algorithms like IQR (Inter Quartile Range).