• Viplav Soni
• Dr. Rakesh Kumar Khare

The virtualization method is an essential technique in cloud computing for reducing the power utilized by the cloud data centre. The majority of services in this generation are going to the cloud, which has raised the demand on data centers. As a consequence, the data centre expands in size, which increases energy usage. A resource allocation optimization technique must be effective in order to handle this problem. This study suggests a hybrid approach for allocating VM depend on ABC-WOA, which is a type of supervised ML method. With better load allocation across the available resources and a focus on resource utilization, the project's objective is to use less energy. In order to create a training database for the WOA method & ultimately obtain a trained design, the suggested approach utilized an ABC. The outcomes demonstrated that the suggested ABC-WOA model outperforms the current models in terms of energy consumption, execution time, & resource utilization of the data centre and hosts. Performance measurements for the task consisted power consumption, execution time, resource utilization, average start time, & average finish time.

"A Hybrid ABC-WOA for Virtualization in Cloud computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c172-c180, September-2023, Available :http://www.jetir.org/papers/JETIR2309218.pdf

"A Hybrid ABC-WOA for Virtualization in Cloud computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc172-c180, September-2023, Available at : http://www.jetir.org/papers/JETIR2309218.pdf