TY  - JOUR
AU  - Patel, Sanjay 
AU  - Makwana, Ramji M. 
PY  - 2016
TI  - Optimized Energy Efficient Virtual Machine Placement Algorithm and Techniques for Cloud Data Centers
JF  - Journal of Computer Science
VL  - 12
IS  - 9
DO  - 10.3844/jcssp.2016.448.454
UR  - https://thescipub.com/abstract/jcssp.2016.448.454
AB  - Cloud computing is an internet based computing technology that provide on demand computing for end users. Normally, data centers allocation for application on statically based. But today so many data centers have a problem how to reduce energy consumption? Due to increase use of cloud services and infrastructure by various cloud providers, uses of energy day by day increase that's why energy consumption increase lots. Large numbers of data centers that consume lots of energy which increase the level of co2. Hence there is need for green computing and for energy efficient management of cloud data center resources besides meeting the QoS constraints. Within a data center, maximum energy is consumed by cooling systems and ICT Infrastructure, particularly, the servers. So it is of utmost importance to optimize energy utilization in datac enter servers. In order to achieve this, we can leverage the power of virtualization which is intrinsic in Cloud Computing. Virtualization opens the doors for VM consolidation by allowing dynamic migration of virtual machines across physical machines. In this study, the problem of VM consolidation has been formulated as a mathematical optimization problem.