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Girish L Rohit Singh Rathaur30m
AI/ML for NFV Usecases
AI has the potential in creating v= alue in terms of enhanced workload availability and improved performance an= d efficiency for NFV use-cases. This work aims to build <= /span>machine-Learning models and Tools that can be us= ed by Telcos (typically by the operations team in Telcos). Each of these mo= dels aims to solve a single problem within a particular category. For examp= le, the first category we have chosen is Failure prediction, and we have cr= eated 6 models - failure prediction of VMs. Containers, Nodes, Networ= k-Links, Applications, and middleware services. Now, we have created a mode= l for the Failure Prediction of VMs. This project also aims to define a set= of data models for each of the decision-making prob= lems, that will help both providers and consumers of the data to collaborat= e. A failure prediction system could be deployed to help the NF= V system avoid unexpected failure in advance.
The main purpose of the session is= to demonstrate failure prediction models and also we will present differen= t AI/ML use cases for NFV.
Wiki page to get more details:
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https://wiki.anuket.io/pages/viewpage.action?pageId=3D7638023
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Awesome presentation