Invention Grant
- Patent Title: Optimizing network parameters based on a learned network performance model
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Application No.: US14164876Application Date: 2014-01-27
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Publication No.: US10277476B2Publication Date: 2019-04-30
- Inventor: Grégory Mermoud , Jean-Philippe Vasseur , Sukrit Dasgupta
- 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: Behmke Innovation Group LLC
- Agent James Behmke; Stephen D. LeBarron
- Main IPC: G06N99/00
- IPC: G06N99/00 ; H04L12/24 ; H04L12/805 ; H04L12/751 ; H04L12/803 ; H04W24/04 ; H04L12/721
Abstract:
In one embodiment, a predictive model is constructed by mapping multiple network characteristics to multiple network performance metrics. Then, a network performance metric pertaining to a node in a network is predicted based on the constructed predictive model and one or more network characteristics relevant to the node. Also, a local parameter of the node is optimized based on the predicted network performance metric.
Public/Granted literature
- US20150195136A1 OPTIMIZING NETWORK PARAMETERS BASED ON A LEARNED NETWORK PERFORMANCE MODEL Public/Granted day:2015-07-09
Information query
