Title :
Achieving Energy Efficiency by Optimal Resource Utilisation in Cloud Environment
Author :
More, Devwrat ; Mehta, Sharad ; Pathak, Pooja ; Walase, Lokesh ; Abraham, Jibi
Author_Institution :
Dept. of Comput. Eng. & IT, Coll. of Eng. Pune, Pune, India
Abstract :
Emergence of cloud computing has provided an efficient platform for distributed utility computing. But, the huge amount of energy consumed in cloud environment has raised many environmental concerns. To solve the issue of energy consumption in cloud environment, the design of energy efficient mechanism must start to play a major role. The paper addresses this issue by proposing Energy Manager which governs activities in cloud to attain optimal energy utilization. The Energy Manager takes into account resource utilization, CPU frequency, supply voltage and effect of all these on response time. In a novel way, it uses soft scaling as a precursor to Dynamic Voltage and Frequency Scaling (DVFS) to enhance the effectiveness of DVFS in virtualized environment. It implements DVFS, Virtual Machine (VM) migration and consolidation, soft scaling, and power state switching techniques to achieve the objective.
Keywords :
cloud computing; parallel processing; resource allocation; CPU frequency; DVFS; VM migration; cloud computing; cloud environment; distributed utility computing; dynamic voltage-and-frequency scaling; energy consumption; optimal energy utilisation; optimal resource utilisation; power state switching techniques; response time; soft scaling; supply voltage; virtual machine migration; Cloud computing; Energy consumption; Energy efficiency; Resource management; Servers; Switches; Time factors;
Conference_Titel :
Cloud Computing in Emerging Markets (CCEM), 2014 IEEE International Conference on
Conference_Location :
Bangalore
DOI :
10.1109/CCEM.2014.7015479