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@article{142669,
        author = {Verma Megha and Jignesh Vania},
        title = {Energy Efficient Virtual Machine Placement In Cloud },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {6},
        pages = {4-7},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142669},
        abstract = {Cloud Computing is the use of computing resources that are delivered as a service over a network. In  cloud  computing,  there  are  many  tasks  required  to  be  executed  by  the available resources to achieve best performance and maximum utilization of resources. Due to rapid increase in the number of data centres to provide the services to the users the power consumed and operational costs of them is going on increasing day by day. Due to high power consumption and continuous working is adding up to the green house effect. So there is a need to create an energy efficient system where the power consumption is less. Dynamic compare and balance algorithm does not consider load of server at VM allocation time. Proposed algorithm considers load of host at VM allocation time for maximum utilization of resources. Algorithm evaluates total load of server after VM allocation and if server becomes over  loaded  according  to  the  evaluation  then  new  server  will  be  selected  for  VM allocation. To support green computing concept proposed algorithm also define mechanism to save energy. If evaluated total load is lower than the lower threshold value of  server  means  server  is  under  loaded  then  new  server  will  be  selected  for  VM allocation.},
        keywords = {Cloud Computing, Energy management},
        month = {},
        }