Samsung Electronics Co., Ltd.

Peeyus Pal

Karthikeyan Subramaniam

Vimal Bastin Edwin Joseph

Karthikeyan Narayanan

Parvathi Mahesh Hedathri

This disclosure relates to deployment of additional workload in the NFV-MANO to efficiently utilize resources during a lean workload period of Virtual Network Functions (VNFs) associated with an intelligent cloud platform. The method comprises measuring, over a time period, a current resource utilization level of one or more rendered VNFs. Thereafter, forecasting future resource utilization for the time period based on predictive analysis criteria and the current resource utilization level of the one or more VNFs. The method further comprises a machine learning based inference for determining whether the forecast future resource utilization for said time period is less than a determined optimal resource utilization threshold value of the one or more VNFs. Thereafter, resources of the one or more VNFs to one or more additional workloads are allocated based on the determination of the future resource utilization.

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Bengaluru, India

Peeyus Pal