Estimating Virtual Machine Approach for Energy Consideration in Cloud Computing

The cloud environment is a heterogeneous one where more users are deployed over it. The cloud providers are continuously addressing the challenges of increased data centers and maintenance. Moreover, the cloud data centers are being incorporated into a more number of computational resources which in...

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Bibliographic Details
Main Authors: Karpagam, T., Jayashree, K.
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
data center
Data centers
Energy consumption
Power demand
Robustness
Switches
Virtual machining
virtualization
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Summary:The cloud environment is a heterogeneous one where more users are deployed over it. The cloud providers are continuously addressing the challenges of increased data centers and maintenance. Moreover, the cloud data centers are being incorporated into a more number of computational resources which in turn lead to the huge power consumption in the data centers. Virtualization is one of the techniques which serves the application and server consolidation also the placement of VM's on the Physical machine. The technique we implemented is the machine learning classification in determining the proficiency of VM and datacenter resource management, energy consumption, energy saving, load balance and robustness in the network.
ISSN:2575-7288
DOI:10.1109/ICACCS54159.2022.9785070