Computing power resource scheduling method and device, terminal equipment and storage medium
The invention discloses a computing power resource scheduling method and device, terminal equipment and a storage medium, and the method comprises the steps: receiving a resource application request of a user, and carrying out the Kubernetes cluster resource scheduling distribution of the applicatio...
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creator | WU QIUMIN TIAN YONGJIANG YANG SHAOHUAI ZHANG WEI WANG XI |
description | The invention discloses a computing power resource scheduling method and device, terminal equipment and a storage medium, and the method comprises the steps: receiving a resource application request of a user, and carrying out the Kubernetes cluster resource scheduling distribution of the application request based on a preset resource scheduling strategy in combination with a pre-created webhook mechanism; and based on a preset dynamic capacity expansion and contraction strategy, combining a pre-created controller mechanism to dynamically allocate and recover related computing power resources. Based on the scheme, the computing power scheduling efficiency of the AI chip can be effectively improved.
本发明公开了一种算力资源调度方法、装置、终端设备以及存储介质,其方法包括:接收用户的资源应用请求,基于预设资源调度策略结合预先创建的webhook机制,对所述应用请求进行Kubernetes集群资源调度分配;基于预设动态扩缩容策略,结合预先创建的controller机制对相关算力资源进行动态分配和回收。基于上述方案,可以有效提高对AI芯片的算力调度效率。 |
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本发明公开了一种算力资源调度方法、装置、终端设备以及存储介质,其方法包括:接收用户的资源应用请求,基于预设资源调度策略结合预先创建的webhook机制,对所述应用请求进行Kubernetes集群资源调度分配;基于预设动态扩缩容策略,结合预先创建的controller机制对相关算力资源进行动态分配和回收。基于上述方案,可以有效提高对AI芯片的算力调度效率。</description><language>chi ; eng</language><subject>CALCULATING ; 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&date=20240517&DB=EPODOC&CC=CN&NR=118051341A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,782,887,25573,76557</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240517&DB=EPODOC&CC=CN&NR=118051341A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WU QIUMIN</creatorcontrib><creatorcontrib>TIAN YONGJIANG</creatorcontrib><creatorcontrib>YANG SHAOHUAI</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><creatorcontrib>WANG XI</creatorcontrib><title>Computing power resource scheduling method and device, terminal equipment and storage medium</title><description>The invention discloses a computing power resource scheduling method and device, terminal equipment and a storage medium, and the method comprises the steps: receiving a resource application request of a user, and carrying out the Kubernetes cluster resource scheduling distribution of the application request based on a preset resource scheduling strategy in combination with a pre-created webhook mechanism; and based on a preset dynamic capacity expansion and contraction strategy, combining a pre-created controller mechanism to dynamically allocate and recover related computing power resources. Based on the scheme, the computing power scheduling efficiency of the AI chip can be effectively improved.
本发明公开了一种算力资源调度方法、装置、终端设备以及存储介质,其方法包括:接收用户的资源应用请求,基于预设资源调度策略结合预先创建的webhook机制,对所述应用请求进行Kubernetes集群资源调度分配;基于预设动态扩缩容策略,结合预先创建的controller机制对相关算力资源进行动态分配和回收。基于上述方案,可以有效提高对AI芯片的算力调度效率。</description><subject>CALCULATING</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>eNqNi7sKAjEUBbexEPUfrr2CYRW2laBYWVkKS0iOu4G8TG70933gB1hNMTPT5iqjT5VtGCjFJzJllFizBhU9wlT3MR48RkMqGDJ4WI0VMbK3QTnCvdrkEfirC8esBrwPY6ufN5ObcgWLH2fN8ni4yNMaKfYoSWkEcC_PQnSbnWi3Yt_-07wA9ns8MQ</recordid><startdate>20240517</startdate><enddate>20240517</enddate><creator>WU QIUMIN</creator><creator>TIAN YONGJIANG</creator><creator>YANG SHAOHUAI</creator><creator>ZHANG WEI</creator><creator>WANG XI</creator><scope>EVB</scope></search><sort><creationdate>20240517</creationdate><title>Computing power resource scheduling method and device, terminal equipment and storage medium</title><author>WU QIUMIN ; TIAN YONGJIANG ; YANG SHAOHUAI ; ZHANG WEI ; WANG XI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118051341A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WU QIUMIN</creatorcontrib><creatorcontrib>TIAN YONGJIANG</creatorcontrib><creatorcontrib>YANG SHAOHUAI</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><creatorcontrib>WANG XI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WU QIUMIN</au><au>TIAN YONGJIANG</au><au>YANG SHAOHUAI</au><au>ZHANG WEI</au><au>WANG XI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Computing power resource scheduling method and device, terminal equipment and storage medium</title><date>2024-05-17</date><risdate>2024</risdate><abstract>The invention discloses a computing power resource scheduling method and device, terminal equipment and a storage medium, and the method comprises the steps: receiving a resource application request of a user, and carrying out the Kubernetes cluster resource scheduling distribution of the application request based on a preset resource scheduling strategy in combination with a pre-created webhook mechanism; and based on a preset dynamic capacity expansion and contraction strategy, combining a pre-created controller mechanism to dynamically allocate and recover related computing power resources. Based on the scheme, the computing power scheduling efficiency of the AI chip can be effectively improved.
本发明公开了一种算力资源调度方法、装置、终端设备以及存储介质,其方法包括:接收用户的资源应用请求,基于预设资源调度策略结合预先创建的webhook机制,对所述应用请求进行Kubernetes集群资源调度分配;基于预设动态扩缩容策略,结合预先创建的controller机制对相关算力资源进行动态分配和回收。基于上述方案,可以有效提高对AI芯片的算力调度效率。</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Computing power resource scheduling method and device, terminal equipment and storage medium |
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