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公开(公告)号:US10091070B2
公开(公告)日:2018-10-02
申请号:US15170040
申请日:2016-06-01
Applicant: Cisco Technology, Inc.
Inventor: Danish Chopra , Anshu Narang , Inderpreet Bhullar , Hemant Patel , Shashidhar Srinivasa
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.
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公开(公告)号:US20170353361A1
公开(公告)日:2017-12-07
申请号:US15170040
申请日:2016-06-01
Applicant: Cisco Technology, Inc.
Inventor: Danish Chopra , Anshu Narang , Inderpreet Bhullar , Hemant Patel , Shashidhar Srinivasa
CPC classification number: H04L41/5009 , G06F9/45558 , G06F2009/4557 , G06F2009/45591 , H04L41/00 , H04L41/0896 , H04L41/147 , H04L43/00 , H04L43/16
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.
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