Invention Grant
- Patent Title: System and method of using a machine learning algorithm to meet SLA requirements
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Application No.: US15170040Application Date: 2016-06-01
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Publication No.: US10091070B2Publication Date: 2018-10-02
- Inventor: Danish Chopra , Anshu Narang , Inderpreet Bhullar , Hemant Patel , Shashidhar Srinivasa
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: CISCO TECHNOLOGY, INC.
- Current Assignee: CISCO TECHNOLOGY, INC.
- Current Assignee Address: US CA San Jose
- Agency: Polsinelli PC
- Main IPC: G06F9/455
- IPC: G06F9/455 ; H04L12/24 ; H04L12/26

Abstract:
A method includes collecting, at a monitoring and recovery node, a virtual network function key performance index data through multiple channels from a corresponding containerized virtual network function. The method includes maintaining, at the monitoring and recovery node, state information of the corresponding containerized virtual network function and running, at the monitoring and recovery node, a machine learning algorithm that, once trained, learns and predicts whether the corresponding containerized virtual network function requires one of a scaling, a healing or a context switching to sister virtual network function to yield a determination and meet the service level agreement of a network service.
Public/Granted literature
- US20170353361A1 SYSTEM AND METHOD OF USING A MACHINE LEARNING ALGORITHM TO MEET SLA REQUIREMENTS Public/Granted day:2017-12-07
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