Invention Grant
- Patent Title: Network traffic prediction using long short term memory neural networks
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Application No.: US15352938Application Date: 2016-11-16
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Publication No.: US10855550B2Publication Date: 2020-12-01
- Inventor: Mehdi Nikkhah , Preethi Natarajan
- 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: Edell, Shapiro & Finnan, LLC
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L12/26 ; G06N3/08 ; G06N3/04

Abstract:
A server uses an LSTM neural network to predict a bandwidth value for a computer network element using past traffic data. The server receives a time series of bandwidth utilization of the computer network element. The time series includes bandwidth values associated with a respective time values. The LSTM neural network is trained with a training set selected from at least a portion of the time series. The server generates a predicted bandwidth value associated with a future time value based on the LSTM neural network. The provisioned bandwidth for the computer network element is adjusted based on the predicted bandwidth value.
Public/Granted literature
- US20180137412A1 NETWORK TRAFFIC PREDICTION USING LONG SHORT TERM MEMORY NEURAL NETWORKS Public/Granted day:2018-05-17
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