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Topic Leader(s)

Topic Description


Girish L Rohit Singh Rathaur30m

AI/ML for NFV Usecases

Topic Overview: Failure Prediction Model 

AI has the potential in creating value in terms of enhanced workload availability and improved performance and efficiency for NFV use-cases. This work aims to build machine-Learning models and Tools that can be used by Telcos (typically by the operations team in Telcos). Each of these models aims to solve a single problem within a particular category. For example, the first category we have chosen is Failure prediction, and we have created 6 models - failure prediction of VMs. Containers, Nodes,  Network-Links, Applications, and middleware services. Now, we have created a model for the Failure Prediction of VMs. This project also aims to define a set of data models for each of the decision-making problems, that will help both providers and consumers of the data to collaborate. A failure prediction system could be deployed to help the NFV system avoid unexpected failure in advance. 


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