Network traffic prediction method and device

The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical netwo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: QIU CHAOFAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator QIU CHAOFAN
description The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical network flow sequence training model library of exit gateway equipment in a first time period; and updating the prediction model of at least one sub-time period according to the actual network flow of at least one sub-time period in the second time period of which the network flow error value is greaterthan the preset threshold when judging that the predicted network flow sequence does not meet the expected target based on a comparison result between the actual network flow sequence in the second time period and the predicted network flow sequence. Through the mode, the prediction device can train the prediction model corresponding to the sub-time period according to the historical network flowcorresponding to different
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111030869A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111030869A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111030869A3</originalsourceid><addsrcrecordid>eNrjZNDxSy0pzy_KVigpSkxLy0xWKChKTclMLsnMz1PITS3JyE9RSMxLUUhJLctMTuVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGhgbGBhZmlo7GxKgBAJzxKcs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Network traffic prediction method and device</title><source>esp@cenet</source><creator>QIU CHAOFAN</creator><creatorcontrib>QIU CHAOFAN</creatorcontrib><description>The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical network flow sequence training model library of exit gateway equipment in a first time period; and updating the prediction model of at least one sub-time period according to the actual network flow of at least one sub-time period in the second time period of which the network flow error value is greaterthan the preset threshold when judging that the predicted network flow sequence does not meet the expected target based on a comparison result between the actual network flow sequence in the second time period and the predicted network flow sequence. Through the mode, the prediction device can train the prediction model corresponding to the sub-time period according to the historical network flowcorresponding to different</description><language>chi ; eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200417&amp;DB=EPODOC&amp;CC=CN&amp;NR=111030869A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200417&amp;DB=EPODOC&amp;CC=CN&amp;NR=111030869A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIU CHAOFAN</creatorcontrib><title>Network traffic prediction method and device</title><description>The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical network flow sequence training model library of exit gateway equipment in a first time period; and updating the prediction model of at least one sub-time period according to the actual network flow of at least one sub-time period in the second time period of which the network flow error value is greaterthan the preset threshold when judging that the predicted network flow sequence does not meet the expected target based on a comparison result between the actual network flow sequence in the second time period and the predicted network flow sequence. Through the mode, the prediction device can train the prediction model corresponding to the sub-time period according to the historical network flowcorresponding to different</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDxSy0pzy_KVigpSkxLy0xWKChKTclMLsnMz1PITS3JyE9RSMxLUUhJLctMTuVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGhgbGBhZmlo7GxKgBAJzxKcs</recordid><startdate>20200417</startdate><enddate>20200417</enddate><creator>QIU CHAOFAN</creator><scope>EVB</scope></search><sort><creationdate>20200417</creationdate><title>Network traffic prediction method and device</title><author>QIU CHAOFAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111030869A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>QIU CHAOFAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIU CHAOFAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Network traffic prediction method and device</title><date>2020-04-17</date><risdate>2020</risdate><abstract>The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical network flow sequence training model library of exit gateway equipment in a first time period; and updating the prediction model of at least one sub-time period according to the actual network flow of at least one sub-time period in the second time period of which the network flow error value is greaterthan the preset threshold when judging that the predicted network flow sequence does not meet the expected target based on a comparison result between the actual network flow sequence in the second time period and the predicted network flow sequence. Through the mode, the prediction device can train the prediction model corresponding to the sub-time period according to the historical network flowcorresponding to different</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN111030869A
source esp@cenet
subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Network traffic prediction method and device
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T16%3A31%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=QIU%20CHAOFAN&rft.date=2020-04-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111030869A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true