Partitioned performance: adaptive predicted impact

Implementations are provided herein for offering partitioned performance within a distributed file system and more specifically, for offering adaptive predicted impact of resource consumption by pending work items. Core resource consumption per work item can be estimated prior to processing the work...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Powell, Daniel, Walton, Jonathan, Rang, Anton, Sledz, Dan
Format: Patent
Sprache: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 Powell, Daniel
Walton, Jonathan
Rang, Anton
Sledz, Dan
description Implementations are provided herein for offering partitioned performance within a distributed file system and more specifically, for offering adaptive predicted impact of resource consumption by pending work items. Core resource consumption per work item can be estimated prior to processing the work item. When processing the work item, the actual amount of resources used to process the work item can be measured and recorded. The file system can then update future estimates for performing work items based on past results. Resources made available to process future requests can be throttled based on dynamically updated estimates of resource consumption by pending work items.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US10148531B1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US10148531B1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US10148531B13</originalsourceid><addsrcrecordid>eNrjZDAKSCwqySzJzM9LTVEoSC1Kyy_KTcxLTrVSSExJLCjJLEtVKChKTclMLgHKZ-YWJCaX8DCwpiXmFKfyQmluBkU31xBnD93Ugvz41GKgktS81JL40GBDA0MTC1NjQydDY2LUAAD63iyI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Partitioned performance: adaptive predicted impact</title><source>esp@cenet</source><creator>Powell, Daniel ; Walton, Jonathan ; Rang, Anton ; Sledz, Dan</creator><creatorcontrib>Powell, Daniel ; Walton, Jonathan ; Rang, Anton ; Sledz, Dan</creatorcontrib><description>Implementations are provided herein for offering partitioned performance within a distributed file system and more specifically, for offering adaptive predicted impact of resource consumption by pending work items. Core resource consumption per work item can be estimated prior to processing the work item. When processing the work item, the actual amount of resources used to process the work item can be measured and recorded. The file system can then update future estimates for performing work items based on past results. Resources made available to process future requests can be throttled based on dynamically updated estimates of resource consumption by pending work items.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2018</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=20181204&amp;DB=EPODOC&amp;CC=US&amp;NR=10148531B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20181204&amp;DB=EPODOC&amp;CC=US&amp;NR=10148531B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Powell, Daniel</creatorcontrib><creatorcontrib>Walton, Jonathan</creatorcontrib><creatorcontrib>Rang, Anton</creatorcontrib><creatorcontrib>Sledz, Dan</creatorcontrib><title>Partitioned performance: adaptive predicted impact</title><description>Implementations are provided herein for offering partitioned performance within a distributed file system and more specifically, for offering adaptive predicted impact of resource consumption by pending work items. Core resource consumption per work item can be estimated prior to processing the work item. When processing the work item, the actual amount of resources used to process the work item can be measured and recorded. The file system can then update future estimates for performing work items based on past results. Resources made available to process future requests can be throttled based on dynamically updated estimates of resource consumption by pending work items.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAKSCwqySzJzM9LTVEoSC1Kyy_KTcxLTrVSSExJLCjJLEtVKChKTclMLgHKZ-YWJCaX8DCwpiXmFKfyQmluBkU31xBnD93Ugvz41GKgktS81JL40GBDA0MTC1NjQydDY2LUAAD63iyI</recordid><startdate>20181204</startdate><enddate>20181204</enddate><creator>Powell, Daniel</creator><creator>Walton, Jonathan</creator><creator>Rang, Anton</creator><creator>Sledz, Dan</creator><scope>EVB</scope></search><sort><creationdate>20181204</creationdate><title>Partitioned performance: adaptive predicted impact</title><author>Powell, Daniel ; Walton, Jonathan ; Rang, Anton ; Sledz, Dan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10148531B13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Powell, Daniel</creatorcontrib><creatorcontrib>Walton, Jonathan</creatorcontrib><creatorcontrib>Rang, Anton</creatorcontrib><creatorcontrib>Sledz, Dan</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Powell, Daniel</au><au>Walton, Jonathan</au><au>Rang, Anton</au><au>Sledz, Dan</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Partitioned performance: adaptive predicted impact</title><date>2018-12-04</date><risdate>2018</risdate><abstract>Implementations are provided herein for offering partitioned performance within a distributed file system and more specifically, for offering adaptive predicted impact of resource consumption by pending work items. Core resource consumption per work item can be estimated prior to processing the work item. When processing the work item, the actual amount of resources used to process the work item can be measured and recorded. The file system can then update future estimates for performing work items based on past results. Resources made available to process future requests can be throttled based on dynamically updated estimates of resource consumption by pending work items.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US10148531B1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Partitioned performance: adaptive predicted impact
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T05%3A30%3A37IST&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=Powell,%20Daniel&rft.date=2018-12-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS10148531B1%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