• Leena Kadiya
• Jay Mevada
• Krunal Suthar

Cloud Computing has become a main source for data processing, data storage and distribution .the storage of data is simple and free to use. In recent years, with the development of cloud computing technology, the size of a data center is expanding rapidly. To minimize the energy consumption of a data center, we propose an energy-efficient virtual resource dynamic integration (VRDI) method.Live migration is a key technique for virtual machine(VM) management in data center networks, which enables flexibility in resource optimization, fault tolerance, and load balancing. Distributed clouds have recently attracted many cloud providers and researchers as a topic of intensive interest. High energy costs and carbon emissions are two significant problems in distributed clouds. a cost and carbon emission-efficient VM placement method (CACEV)considers geographically varying energy prices and carbon emission rates as well an optimizing both network and server resources at the same time. In this Paper we develop In the proposed VRDI method, first, by monitoring the load patterns of the physical machines (PMs) and the corresponding thresholds of PMs calculated using the statistical data, we propose a PM selection algorithm to find a set of PMs which should be integrated.

VM migration planning, Software-defined Network (SDN), Migration sequence, Minimum migration time, Cloud computing; Green data center; Energy consumption, Genetic algorithm, Dynamic consolidation, VM Allocation, Google Cluster, Energy Efficient; Cloud Computing; Cluster

"A VM Consolation Approach For Energy Efficient Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.969-972, February-2018, Available :http://www.jetir.org/papers/JETIR1802171.pdf

"A VM Consolation Approach For Energy Efficient Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp969-972, February-2018, Available at : http://www.jetir.org/papers/JETIR1802171.pdf