Distributed cloud container resource scheduling method and system

Distributed cloud container resource scheduling method and system

The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorit...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG AOWEN, LI BIYAN, HUANG ZHANPENG, XIAO LIANJU, HAN WEI, FENG KANG, ZHAI XUESONG, LIU WENJIA, HE LIEJUN, YI XIDONG, WENG ZUTI, GAO BAOJUN, ZHANG TIANSONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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 ZHANG AOWEN
LI BIYAN
HUANG ZHANPENG
XIAO LIANJU
HAN WEI
FENG KANG
ZHAI XUESONG
LIU WENJIA
HE LIEJUN
YI XIDONG
WENG ZUTI
GAO BAOJUN
ZHANG TIANSONG
description The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorithm is adopted, container mirror images used for multiple times are analyzed and recognized, the operation of pulling and caching the mirror images to local nodes in advance is executed, and the container mirror images used for multiple times are obtained; and adjusting mirror image starting time by utilizing localized storage, and generating a predictive mirror image cache set. According to the method, the container mirror image management is optimized by adopting the decision tree algorithm, the starting time and the response speed of the container are greatly improved, and the requirements of high dynamic load and rapid change are effectively met, so that the resource scheduling efficiency and performance are imp
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117909083A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117909083A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117909083A3</originalsourceid><addsrcrecordid>eNrjZHB0ySwuKcpMKi1JTVFIzskvBZL5eSWJmXmpRQpFqcX5pUXJqQrFyRmpKaU5mXnpCrmpJRn5KQqJeSkKxZXFJam5PAysaYk5xam8UJqbQdHNNcTZQze1ID8-tbggMTk1L7Uk3tnP0NDc0sDSwMLY0ZgYNQBW4zJY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Distributed cloud container resource scheduling method and system</title><source>esp@cenet</source><creator>ZHANG AOWEN ; LI BIYAN ; HUANG ZHANPENG ; XIAO LIANJU ; HAN WEI ; FENG KANG ; ZHAI XUESONG ; LIU WENJIA ; HE LIEJUN ; YI XIDONG ; WENG ZUTI ; GAO BAOJUN ; ZHANG TIANSONG</creator><creatorcontrib>ZHANG AOWEN ; LI BIYAN ; HUANG ZHANPENG ; XIAO LIANJU ; HAN WEI ; FENG KANG ; ZHAI XUESONG ; LIU WENJIA ; HE LIEJUN ; YI XIDONG ; WENG ZUTI ; GAO BAOJUN ; ZHANG TIANSONG</creatorcontrib><description>The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorithm is adopted, container mirror images used for multiple times are analyzed and recognized, the operation of pulling and caching the mirror images to local nodes in advance is executed, and the container mirror images used for multiple times are obtained; and adjusting mirror image starting time by utilizing localized storage, and generating a predictive mirror image cache set. According to the method, the container mirror image management is optimized by adopting the decision tree algorithm, the starting time and the response speed of the container are greatly improved, and the requirements of high dynamic load and rapid change are effectively met, so that the resource scheduling efficiency and performance are imp</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240419&amp;DB=EPODOC&amp;CC=CN&amp;NR=117909083A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240419&amp;DB=EPODOC&amp;CC=CN&amp;NR=117909083A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG AOWEN</creatorcontrib><creatorcontrib>LI BIYAN</creatorcontrib><creatorcontrib>HUANG ZHANPENG</creatorcontrib><creatorcontrib>XIAO LIANJU</creatorcontrib><creatorcontrib>HAN WEI</creatorcontrib><creatorcontrib>FENG KANG</creatorcontrib><creatorcontrib>ZHAI XUESONG</creatorcontrib><creatorcontrib>LIU WENJIA</creatorcontrib><creatorcontrib>HE LIEJUN</creatorcontrib><creatorcontrib>YI XIDONG</creatorcontrib><creatorcontrib>WENG ZUTI</creatorcontrib><creatorcontrib>GAO BAOJUN</creatorcontrib><creatorcontrib>ZHANG TIANSONG</creatorcontrib><title>Distributed cloud container resource scheduling method and system</title><description>The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorithm is adopted, container mirror images used for multiple times are analyzed and recognized, the operation of pulling and caching the mirror images to local nodes in advance is executed, and the container mirror images used for multiple times are obtained; and adjusting mirror image starting time by utilizing localized storage, and generating a predictive mirror image cache set. According to the method, the container mirror image management is optimized by adopting the decision tree algorithm, the starting time and the response speed of the container are greatly improved, and the requirements of high dynamic load and rapid change are effectively met, so that the resource scheduling efficiency and performance are imp</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB0ySwuKcpMKi1JTVFIzskvBZL5eSWJmXmpRQpFqcX5pUXJqQrFyRmpKaU5mXnpCrmpJRn5KQqJeSkKxZXFJam5PAysaYk5xam8UJqbQdHNNcTZQze1ID8-tbggMTk1L7Uk3tnP0NDc0sDSwMLY0ZgYNQBW4zJY</recordid><startdate>20240419</startdate><enddate>20240419</enddate><creator>ZHANG AOWEN</creator><creator>LI BIYAN</creator><creator>HUANG ZHANPENG</creator><creator>XIAO LIANJU</creator><creator>HAN WEI</creator><creator>FENG KANG</creator><creator>ZHAI XUESONG</creator><creator>LIU WENJIA</creator><creator>HE LIEJUN</creator><creator>YI XIDONG</creator><creator>WENG ZUTI</creator><creator>GAO BAOJUN</creator><creator>ZHANG TIANSONG</creator><scope>EVB</scope></search><sort><creationdate>20240419</creationdate><title>Distributed cloud container resource scheduling method and system</title><author>ZHANG AOWEN ; LI BIYAN ; HUANG ZHANPENG ; XIAO LIANJU ; HAN WEI ; FENG KANG ; ZHAI XUESONG ; LIU WENJIA ; HE LIEJUN ; YI XIDONG ; WENG ZUTI ; GAO BAOJUN ; ZHANG TIANSONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117909083A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG AOWEN</creatorcontrib><creatorcontrib>LI BIYAN</creatorcontrib><creatorcontrib>HUANG ZHANPENG</creatorcontrib><creatorcontrib>XIAO LIANJU</creatorcontrib><creatorcontrib>HAN WEI</creatorcontrib><creatorcontrib>FENG KANG</creatorcontrib><creatorcontrib>ZHAI XUESONG</creatorcontrib><creatorcontrib>LIU WENJIA</creatorcontrib><creatorcontrib>HE LIEJUN</creatorcontrib><creatorcontrib>YI XIDONG</creatorcontrib><creatorcontrib>WENG ZUTI</creatorcontrib><creatorcontrib>GAO BAOJUN</creatorcontrib><creatorcontrib>ZHANG TIANSONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG AOWEN</au><au>LI BIYAN</au><au>HUANG ZHANPENG</au><au>XIAO LIANJU</au><au>HAN WEI</au><au>FENG KANG</au><au>ZHAI XUESONG</au><au>LIU WENJIA</au><au>HE LIEJUN</au><au>YI XIDONG</au><au>WENG ZUTI</au><au>GAO BAOJUN</au><au>ZHANG TIANSONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Distributed cloud container resource scheduling method and system</title><date>2024-04-19</date><risdate>2024</risdate><abstract>The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorithm is adopted, container mirror images used for multiple times are analyzed and recognized, the operation of pulling and caching the mirror images to local nodes in advance is executed, and the container mirror images used for multiple times are obtained; and adjusting mirror image starting time by utilizing localized storage, and generating a predictive mirror image cache set. According to the method, the container mirror image management is optimized by adopting the decision tree algorithm, the starting time and the response speed of the container are greatly improved, and the requirements of high dynamic load and rapid change are effectively met, so that the resource scheduling efficiency and performance are imp</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117909083A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Distributed cloud container resource scheduling method and system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T02%3A02%3A00IST&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=ZHANG%20AOWEN&rft.date=2024-04-19&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117909083A%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