• Apeksha Patel
• Prof. Ashish Revar

Development in Information Technology led to the increasing necessity of computing and storage. Cloud services are one of the technologies with huge demand and hence involves more computing resources and storage. Consequently, the energy consumption by the cloud is also increasing. Cloud data centers consume a large amount of energy and thereby discharging carbon dioxide to the atmosphere. Dynamic efforts are put into this research to minimize the energy consumption of data centers. This work recommends a technique for energy efficient resource management. Prior techniques do not an emphasis on the variations of workloads and deficient in probing the effect of algorithms on performance. Virtual machine configuration also plays a crucial role in reducing energy consumption and resource wastage but is not given much importance. To address these weaknesses, this work recommends a novel method to map groups of tasks to customized virtual machine types. Mapping of the tasks is based on task usage patterns like length, file size, and bandwidth. Data is clustered into a group of tasks and is mapped to the appropriate virtual machine based on the configuration of VM. If the virtual machine is overloaded in this process, the performance will be reduced and if the virtual machine is underloaded, resources are unused and energy consumption rises. Virtual machine migration is done to stabilize the load by manipulating the load using MIPS, RAM, and Bandwidth. We have reviewed some papers and presented a comparative analysis.

Cloud Computing, VM scheduling, Virtual Machine, Load Balancing, Energy Consumption.

"A COMPARATIVE ANALYSIS OF VM MIGRATIONS AND TASK SCHEDULING TO MINIMIZE ENERGY CONSUMPTION IN CLOUD DATACENTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.211-220, March-2019, Available :http://www.jetir.org/papers/JETIR1903A31.pdf

"A COMPARATIVE ANALYSIS OF VM MIGRATIONS AND TASK SCHEDULING TO MINIMIZE ENERGY CONSUMPTION IN CLOUD DATACENTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp211-220, March-2019, Available at : http://www.jetir.org/papers/JETIR1903A31.pdf