SYSTEM AND METHODS FOR INTELLIGENT SERVICE FUNCTION PLACEMENT AND AUTOSCALE BASED ON MACHINE LEARNING

摘要

A method implemented by a computing device to optimize resource usage of service function chains (SFCs) in a network using machine learning. The method includes obtaining, from an autoscale machine learning (ML) system associated with a virtual network function (vNF), a suggested adjustment to an amount of resources provisioned for the vNF. The autoscale ML system is trained online using machine learning to predict an amount of resources to be utilized by the vNF. The autoscale ML system is configured to receive as input an amount of resources currently utilized by the vNF and an amount of resources currently available to the vNF, determine using machine learning the suggested adjustment to the amount of resources provisioned for the vNF based on the input, and output the suggested adjustment. The method further includes providing the suggested adjustment to a resource re-allocator component.

主权项

1. A method by a computing device to optimize resource usage of service function chains (SFCs) in a network using machine learning, the computing device coupled to a resource monitoring and management system, the method comprising:
obtaining, from an autoscale machine learning (ML) system associated with a virtual network function (vNF), a suggested adjustment to an amount of resources provisioned for the vNF, wherein the autoscale ML system is trained online using machine learning to predict an amount of resources to be utilized by the vNF, and wherein the autoscale ML system is configured to receive as input an amount of resources currently utilized by the vNF and an amount of resources currently available to the vNF, determine using machine learning the suggested adjustment to the amount of resources provisioned for the vNF based on the amount of resources currently utilized by the vNF and the amount of resources currently available to the vNF, and output the suggested adjustment to the amount of resources provisioned for the vNF; and providing the suggested adjustment to the amount of resources provisioned for the vNF to a resource re-allocator component.