CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING

A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared availa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: KESHARI, Neha, KARNATAKI, Vinayak Ramnath, NATARAJAN, Gowtham, JOSHI, Maitreyee Ramprasad, TREACY, Ambrose Thomas, ZHOU, Shandan, AGARWAL, Saurabh, PUROHIT, Yash, SUBRAMANIAN, Karthikeyan, RAMANUJAN, Sanjay
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 KESHARI, Neha
KARNATAKI, Vinayak Ramnath
NATARAJAN, Gowtham
JOSHI, Maitreyee Ramprasad
TREACY, Ambrose Thomas
ZHOU, Shandan
AGARWAL, Saurabh
PUROHIT, Yash
SUBRAMANIAN, Karthikeyan
RAMANUJAN, Sanjay
description A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared available current capacity and a shared available future added capacity for the virtual machine series in the system unit. The method may also include predicting an available capacity for the virtual machine series in the system unit during the upcoming time period. The predicted available capacity may be based at least in part on a predicted demand for the virtual machine series in the system unit during the upcoming time period and the predicted supply. The method may also include taking at least one mitigation action in response to determining that the predicted demand exceeds the predicted supply during the upcoming time period.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP3935503B1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP3935503B1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP3935503B13</originalsourceid><addsrcrecordid>eNqNiz0KwkAQRrexEPUOcwFBWVJYjpsxGdg_srNCqhBkrUQD8f4YwQNYfTze-9YqG4xoWHpw6LEhR16APSAYG3INJriYhX0DqU9CDnL6wpU7yWiXk2nZEyTqmBK4UJNd_Fat7uNjLrvfbhRcSEy7L9NrKPM03sqzvAeK-qSr6qDPR_1H8gEAdjAP</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING</title><source>esp@cenet</source><creator>KESHARI, Neha ; KARNATAKI, Vinayak Ramnath ; NATARAJAN, Gowtham ; JOSHI, Maitreyee Ramprasad ; TREACY, Ambrose Thomas ; ZHOU, Shandan ; AGARWAL, Saurabh ; PUROHIT, Yash ; SUBRAMANIAN, Karthikeyan ; RAMANUJAN, Sanjay</creator><creatorcontrib>KESHARI, Neha ; KARNATAKI, Vinayak Ramnath ; NATARAJAN, Gowtham ; JOSHI, Maitreyee Ramprasad ; TREACY, Ambrose Thomas ; ZHOU, Shandan ; AGARWAL, Saurabh ; PUROHIT, Yash ; SUBRAMANIAN, Karthikeyan ; RAMANUJAN, Sanjay</creatorcontrib><description>A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared available current capacity and a shared available future added capacity for the virtual machine series in the system unit. The method may also include predicting an available capacity for the virtual machine series in the system unit during the upcoming time period. The predicted available capacity may be based at least in part on a predicted demand for the virtual machine series in the system unit during the upcoming time period and the predicted supply. The method may also include taking at least one mitigation action in response to determining that the predicted demand exceeds the predicted supply during the upcoming time period.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</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=20230823&amp;DB=EPODOC&amp;CC=EP&amp;NR=3935503B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230823&amp;DB=EPODOC&amp;CC=EP&amp;NR=3935503B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KESHARI, Neha</creatorcontrib><creatorcontrib>KARNATAKI, Vinayak Ramnath</creatorcontrib><creatorcontrib>NATARAJAN, Gowtham</creatorcontrib><creatorcontrib>JOSHI, Maitreyee Ramprasad</creatorcontrib><creatorcontrib>TREACY, Ambrose Thomas</creatorcontrib><creatorcontrib>ZHOU, Shandan</creatorcontrib><creatorcontrib>AGARWAL, Saurabh</creatorcontrib><creatorcontrib>PUROHIT, Yash</creatorcontrib><creatorcontrib>SUBRAMANIAN, Karthikeyan</creatorcontrib><creatorcontrib>RAMANUJAN, Sanjay</creatorcontrib><title>CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING</title><description>A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared available current capacity and a shared available future added capacity for the virtual machine series in the system unit. The method may also include predicting an available capacity for the virtual machine series in the system unit during the upcoming time period. The predicted available capacity may be based at least in part on a predicted demand for the virtual machine series in the system unit during the upcoming time period and the predicted supply. The method may also include taking at least one mitigation action in response to determining that the predicted demand exceeds the predicted supply during the upcoming time period.</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNiz0KwkAQRrexEPUOcwFBWVJYjpsxGdg_srNCqhBkrUQD8f4YwQNYfTze-9YqG4xoWHpw6LEhR16APSAYG3INJriYhX0DqU9CDnL6wpU7yWiXk2nZEyTqmBK4UJNd_Fat7uNjLrvfbhRcSEy7L9NrKPM03sqzvAeK-qSr6qDPR_1H8gEAdjAP</recordid><startdate>20230823</startdate><enddate>20230823</enddate><creator>KESHARI, Neha</creator><creator>KARNATAKI, Vinayak Ramnath</creator><creator>NATARAJAN, Gowtham</creator><creator>JOSHI, Maitreyee Ramprasad</creator><creator>TREACY, Ambrose Thomas</creator><creator>ZHOU, Shandan</creator><creator>AGARWAL, Saurabh</creator><creator>PUROHIT, Yash</creator><creator>SUBRAMANIAN, Karthikeyan</creator><creator>RAMANUJAN, Sanjay</creator><scope>EVB</scope></search><sort><creationdate>20230823</creationdate><title>CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING</title><author>KESHARI, Neha ; KARNATAKI, Vinayak Ramnath ; NATARAJAN, Gowtham ; JOSHI, Maitreyee Ramprasad ; TREACY, Ambrose Thomas ; ZHOU, Shandan ; AGARWAL, Saurabh ; PUROHIT, Yash ; SUBRAMANIAN, Karthikeyan ; RAMANUJAN, Sanjay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3935503B13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>KESHARI, Neha</creatorcontrib><creatorcontrib>KARNATAKI, Vinayak Ramnath</creatorcontrib><creatorcontrib>NATARAJAN, Gowtham</creatorcontrib><creatorcontrib>JOSHI, Maitreyee Ramprasad</creatorcontrib><creatorcontrib>TREACY, Ambrose Thomas</creatorcontrib><creatorcontrib>ZHOU, Shandan</creatorcontrib><creatorcontrib>AGARWAL, Saurabh</creatorcontrib><creatorcontrib>PUROHIT, Yash</creatorcontrib><creatorcontrib>SUBRAMANIAN, Karthikeyan</creatorcontrib><creatorcontrib>RAMANUJAN, Sanjay</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KESHARI, Neha</au><au>KARNATAKI, Vinayak Ramnath</au><au>NATARAJAN, Gowtham</au><au>JOSHI, Maitreyee Ramprasad</au><au>TREACY, Ambrose Thomas</au><au>ZHOU, Shandan</au><au>AGARWAL, Saurabh</au><au>PUROHIT, Yash</au><au>SUBRAMANIAN, Karthikeyan</au><au>RAMANUJAN, Sanjay</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING</title><date>2023-08-23</date><risdate>2023</risdate><abstract>A method for minimizing allocation failures in a cloud computing system without overprovisioning may include determining a predicted supply for a virtual machine series in a system unit of the cloud computing system during an upcoming time period. The predicted supply may be based on a shared available current capacity and a shared available future added capacity for the virtual machine series in the system unit. The method may also include predicting an available capacity for the virtual machine series in the system unit during the upcoming time period. The predicted available capacity may be based at least in part on a predicted demand for the virtual machine series in the system unit during the upcoming time period and the predicted supply. The method may also include taking at least one mitigation action in response to determining that the predicted demand exceeds the predicted supply during the upcoming time period.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP3935503B1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title CAPACITY MANAGEMENT IN A CLOUD COMPUTING SYSTEM USING VIRTUAL MACHINE SERIES MODELING
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T05%3A57%3A44IST&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=KESHARI,%20Neha&rft.date=2023-08-23&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP3935503B1%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