AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT
The present application is directed to stranded resource recovery in a cloud computing environment. A resource utilization signal at each of a plurality of nodes that each hosts corresponding virtual machines (VMs) is measured. Based on each resource utilization signal, a set of candidate nodes is i...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
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 | QIAO, Bo DU, Chao SHETH, Nisarg LIN, Qingwei AGARWAL, Saurabh MOSCIBRODA, Thomas QIN, Si RODRIGUEZ, Luke Rafael SUBRAMANIAN, Karthikeyan CHEN, Jayden |
description | The present application is directed to stranded resource recovery in a cloud computing environment. A resource utilization signal at each of a plurality of nodes that each hosts corresponding virtual machines (VMs) is measured. Based on each resource utilization signal, a set of candidate nodes is identified. Each candidate node comprises a stranded resource that is unutilized due to utilization of a bottleneck resource. The identification includes calculating an amount of the stranded resource at each candidate node. From a plurality of VMs hosted at the set of candidate nodes, a set of candidate VMs is identified for migration for stranded resource recovery. The identification includes calculating a score for each candidate VM based on a degree of imbalance between the stranded resource and the bottleneck resource at a candidate node hosting the candidate VM. Migration of at least one candidate VM in the set of candidate VMs is initiated. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP4423604A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP4423604A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP4423604A13</originalsourceid><addsrcrecordid>eNqNykEKwjAQQNFsXIh6h7mAoDa4D8nUBsxMSSYVV6VIXIkW2vtTEA_g6sPjr1UwWTgYQQcRLXcY78A1JImG3BcT52gxwc1L4wkM2CtnB5ZDm8XTBZA6H5kCkmzV6jm8prL7daOgRrHNvoyfvkzj8CjvMvfYan2qzgdtjtUfywLAFC44</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT</title><source>esp@cenet</source><creator>QIAO, Bo ; DU, Chao ; SHETH, Nisarg ; LIN, Qingwei ; AGARWAL, Saurabh ; MOSCIBRODA, Thomas ; QIN, Si ; RODRIGUEZ, Luke Rafael ; SUBRAMANIAN, Karthikeyan ; CHEN, Jayden</creator><creatorcontrib>QIAO, Bo ; DU, Chao ; SHETH, Nisarg ; LIN, Qingwei ; AGARWAL, Saurabh ; MOSCIBRODA, Thomas ; QIN, Si ; RODRIGUEZ, Luke Rafael ; SUBRAMANIAN, Karthikeyan ; CHEN, Jayden</creatorcontrib><description>The present application is directed to stranded resource recovery in a cloud computing environment. A resource utilization signal at each of a plurality of nodes that each hosts corresponding virtual machines (VMs) is measured. Based on each resource utilization signal, a set of candidate nodes is identified. Each candidate node comprises a stranded resource that is unutilized due to utilization of a bottleneck resource. The identification includes calculating an amount of the stranded resource at each candidate node. From a plurality of VMs hosted at the set of candidate nodes, a set of candidate VMs is identified for migration for stranded resource recovery. The identification includes calculating a score for each candidate VM based on a degree of imbalance between the stranded resource and the bottleneck resource at a candidate node hosting the candidate VM. Migration of at least one candidate VM in the set of candidate VMs is initiated.</description><language>eng ; fre ; ger</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=20240904&DB=EPODOC&CC=EP&NR=4423604A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240904&DB=EPODOC&CC=EP&NR=4423604A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIAO, Bo</creatorcontrib><creatorcontrib>DU, Chao</creatorcontrib><creatorcontrib>SHETH, Nisarg</creatorcontrib><creatorcontrib>LIN, Qingwei</creatorcontrib><creatorcontrib>AGARWAL, Saurabh</creatorcontrib><creatorcontrib>MOSCIBRODA, Thomas</creatorcontrib><creatorcontrib>QIN, Si</creatorcontrib><creatorcontrib>RODRIGUEZ, Luke Rafael</creatorcontrib><creatorcontrib>SUBRAMANIAN, Karthikeyan</creatorcontrib><creatorcontrib>CHEN, Jayden</creatorcontrib><title>AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT</title><description>The present application is directed to stranded resource recovery in a cloud computing environment. A resource utilization signal at each of a plurality of nodes that each hosts corresponding virtual machines (VMs) is measured. Based on each resource utilization signal, a set of candidate nodes is identified. Each candidate node comprises a stranded resource that is unutilized due to utilization of a bottleneck resource. The identification includes calculating an amount of the stranded resource at each candidate node. From a plurality of VMs hosted at the set of candidate nodes, a set of candidate VMs is identified for migration for stranded resource recovery. The identification includes calculating a score for each candidate VM based on a degree of imbalance between the stranded resource and the bottleneck resource at a candidate node hosting the candidate VM. Migration of at least one candidate VM in the set of candidate VMs is initiated.</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>eNqNykEKwjAQQNFsXIh6h7mAoDa4D8nUBsxMSSYVV6VIXIkW2vtTEA_g6sPjr1UwWTgYQQcRLXcY78A1JImG3BcT52gxwc1L4wkM2CtnB5ZDm8XTBZA6H5kCkmzV6jm8prL7daOgRrHNvoyfvkzj8CjvMvfYan2qzgdtjtUfywLAFC44</recordid><startdate>20240904</startdate><enddate>20240904</enddate><creator>QIAO, Bo</creator><creator>DU, Chao</creator><creator>SHETH, Nisarg</creator><creator>LIN, Qingwei</creator><creator>AGARWAL, Saurabh</creator><creator>MOSCIBRODA, Thomas</creator><creator>QIN, Si</creator><creator>RODRIGUEZ, Luke Rafael</creator><creator>SUBRAMANIAN, Karthikeyan</creator><creator>CHEN, Jayden</creator><scope>EVB</scope></search><sort><creationdate>20240904</creationdate><title>AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT</title><author>QIAO, Bo ; DU, Chao ; SHETH, Nisarg ; LIN, Qingwei ; AGARWAL, Saurabh ; MOSCIBRODA, Thomas ; QIN, Si ; RODRIGUEZ, Luke Rafael ; SUBRAMANIAN, Karthikeyan ; CHEN, Jayden</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4423604A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</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>QIAO, Bo</creatorcontrib><creatorcontrib>DU, Chao</creatorcontrib><creatorcontrib>SHETH, Nisarg</creatorcontrib><creatorcontrib>LIN, Qingwei</creatorcontrib><creatorcontrib>AGARWAL, Saurabh</creatorcontrib><creatorcontrib>MOSCIBRODA, Thomas</creatorcontrib><creatorcontrib>QIN, Si</creatorcontrib><creatorcontrib>RODRIGUEZ, Luke Rafael</creatorcontrib><creatorcontrib>SUBRAMANIAN, Karthikeyan</creatorcontrib><creatorcontrib>CHEN, Jayden</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIAO, Bo</au><au>DU, Chao</au><au>SHETH, Nisarg</au><au>LIN, Qingwei</au><au>AGARWAL, Saurabh</au><au>MOSCIBRODA, Thomas</au><au>QIN, Si</au><au>RODRIGUEZ, Luke Rafael</au><au>SUBRAMANIAN, Karthikeyan</au><au>CHEN, Jayden</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT</title><date>2024-09-04</date><risdate>2024</risdate><abstract>The present application is directed to stranded resource recovery in a cloud computing environment. A resource utilization signal at each of a plurality of nodes that each hosts corresponding virtual machines (VMs) is measured. Based on each resource utilization signal, a set of candidate nodes is identified. Each candidate node comprises a stranded resource that is unutilized due to utilization of a bottleneck resource. The identification includes calculating an amount of the stranded resource at each candidate node. From a plurality of VMs hosted at the set of candidate nodes, a set of candidate VMs is identified for migration for stranded resource recovery. The identification includes calculating a score for each candidate VM based on a degree of imbalance between the stranded resource and the bottleneck resource at a candidate node hosting the candidate VM. Migration of at least one candidate VM in the set of candidate VMs is initiated.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre ; ger |
recordid | cdi_epo_espacenet_EP4423604A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | AUTOMATED RECOVERY OF STRANDED RESOURCES WITHIN A CLOUD COMPUTING ENVIRONMENT |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T14%3A03%3A59IST&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=QIAO,%20Bo&rft.date=2024-09-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP4423604A1%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 |