The task scheduling strategy with the fusion of LIFO and HRF in grid system

With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Gao, Chen, Ding, Zhongan, Guo, Zhiwei, Deng, Bofa, Mai, Hongkun
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title
container_volume 1864
creator Gao, Chen
Ding, Zhongan
Guo, Zhiwei
Deng, Bofa
Mai, Hongkun
description With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data processing efficiency. As “Read” plays a great role in IO, we focus on the promotion of the performance of “read”. As a result, we put forward a method with the fusion of LIFO and HRF (Highest Rank First), it not only takes into account the advantage of LIFO’s high hit rate of cache, but also solves the lower CPU utilization problem. The “read” performance has improved by 20% with the test on the data platform using our strategy, significantly improved the efficiency of IO.
doi_str_mv 10.1063/1.4993034
format Conference Proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2116075729</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2116075729</sourcerecordid><originalsourceid>FETCH-LOGICAL-p288t-837e2740de94c085bbd8b836afc0109d5230b3571b19d943c3d1f71fe9f45913</originalsourceid><addsrcrecordid>eNp9kE9LwzAYxoMoOKcHv0HAm9D5vk3SJEcZzg0HA9nBW2ibZOvc2tqkyr69lQnePD2X3_OHh5BbhAlCxh5wwrVmwPgZGaEQmMgMs3MyAtA8STl7uyRXIewAUi2lGpGX9dbRmId3Gsqts_2-qjc0xC6PbnOkX1Xc0jgQvg9VU9PG0-VitqJ5ben8dUarmm66ytJwDNEdrsmFz_fB3fzqmKxnT-vpPFmunhfTx2XSpkrFRDHpUsnBOs1LUKIorCoUy3JfAoK2ImVQMCGxQG01ZyWz6CV6pz0XGtmY3J1i26756F2IZtf0XT00mhQxAylkqgfq_kSFsop5HNabtqsOeXc0n01n0Pz-ZFrr_4MRzM-xfwb2DfHQaDs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2116075729</pqid></control><display><type>conference_proceeding</type><title>The task scheduling strategy with the fusion of LIFO and HRF in grid system</title><source>AIP Journals Complete</source><creator>Gao, Chen ; Ding, Zhongan ; Guo, Zhiwei ; Deng, Bofa ; Mai, Hongkun</creator><contributor>Xiao, Jun ; Liu, Lin ; Ke, Jianfeng</contributor><creatorcontrib>Gao, Chen ; Ding, Zhongan ; Guo, Zhiwei ; Deng, Bofa ; Mai, Hongkun ; Xiao, Jun ; Liu, Lin ; Ke, Jianfeng</creatorcontrib><description>With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data processing efficiency. As “Read” plays a great role in IO, we focus on the promotion of the performance of “read”. As a result, we put forward a method with the fusion of LIFO and HRF (Highest Rank First), it not only takes into account the advantage of LIFO’s high hit rate of cache, but also solves the lower CPU utilization problem. The “read” performance has improved by 20% with the test on the data platform using our strategy, significantly improved the efficiency of IO.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.4993034</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Data processing ; Efficiency ; Electricity ; Task scheduling</subject><ispartof>AIP conference proceedings, 2017, Vol.1864 (1)</ispartof><rights>Author(s)</rights><rights>2017 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><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://pubs.aip.org/acp/article-lookup/doi/10.1063/1.4993034$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,790,4498,23909,23910,25118,27901,27902,76126</link.rule.ids></links><search><contributor>Xiao, Jun</contributor><contributor>Liu, Lin</contributor><contributor>Ke, Jianfeng</contributor><creatorcontrib>Gao, Chen</creatorcontrib><creatorcontrib>Ding, Zhongan</creatorcontrib><creatorcontrib>Guo, Zhiwei</creatorcontrib><creatorcontrib>Deng, Bofa</creatorcontrib><creatorcontrib>Mai, Hongkun</creatorcontrib><title>The task scheduling strategy with the fusion of LIFO and HRF in grid system</title><title>AIP conference proceedings</title><description>With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data processing efficiency. As “Read” plays a great role in IO, we focus on the promotion of the performance of “read”. As a result, we put forward a method with the fusion of LIFO and HRF (Highest Rank First), it not only takes into account the advantage of LIFO’s high hit rate of cache, but also solves the lower CPU utilization problem. The “read” performance has improved by 20% with the test on the data platform using our strategy, significantly improved the efficiency of IO.</description><subject>Data processing</subject><subject>Efficiency</subject><subject>Electricity</subject><subject>Task scheduling</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2017</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kE9LwzAYxoMoOKcHv0HAm9D5vk3SJEcZzg0HA9nBW2ibZOvc2tqkyr69lQnePD2X3_OHh5BbhAlCxh5wwrVmwPgZGaEQmMgMs3MyAtA8STl7uyRXIewAUi2lGpGX9dbRmId3Gsqts_2-qjc0xC6PbnOkX1Xc0jgQvg9VU9PG0-VitqJ5ben8dUarmm66ytJwDNEdrsmFz_fB3fzqmKxnT-vpPFmunhfTx2XSpkrFRDHpUsnBOs1LUKIorCoUy3JfAoK2ImVQMCGxQG01ZyWz6CV6pz0XGtmY3J1i26756F2IZtf0XT00mhQxAylkqgfq_kSFsop5HNabtqsOeXc0n01n0Pz-ZFrr_4MRzM-xfwb2DfHQaDs</recordid><startdate>20170803</startdate><enddate>20170803</enddate><creator>Gao, Chen</creator><creator>Ding, Zhongan</creator><creator>Guo, Zhiwei</creator><creator>Deng, Bofa</creator><creator>Mai, Hongkun</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20170803</creationdate><title>The task scheduling strategy with the fusion of LIFO and HRF in grid system</title><author>Gao, Chen ; Ding, Zhongan ; Guo, Zhiwei ; Deng, Bofa ; Mai, Hongkun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p288t-837e2740de94c085bbd8b836afc0109d5230b3571b19d943c3d1f71fe9f45913</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Data processing</topic><topic>Efficiency</topic><topic>Electricity</topic><topic>Task scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Chen</creatorcontrib><creatorcontrib>Ding, Zhongan</creatorcontrib><creatorcontrib>Guo, Zhiwei</creatorcontrib><creatorcontrib>Deng, Bofa</creatorcontrib><creatorcontrib>Mai, Hongkun</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Chen</au><au>Ding, Zhongan</au><au>Guo, Zhiwei</au><au>Deng, Bofa</au><au>Mai, Hongkun</au><au>Xiao, Jun</au><au>Liu, Lin</au><au>Ke, Jianfeng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The task scheduling strategy with the fusion of LIFO and HRF in grid system</atitle><btitle>AIP conference proceedings</btitle><date>2017-08-03</date><risdate>2017</risdate><volume>1864</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data processing efficiency. As “Read” plays a great role in IO, we focus on the promotion of the performance of “read”. As a result, we put forward a method with the fusion of LIFO and HRF (Highest Rank First), it not only takes into account the advantage of LIFO’s high hit rate of cache, but also solves the lower CPU utilization problem. The “read” performance has improved by 20% with the test on the data platform using our strategy, significantly improved the efficiency of IO.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4993034</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP conference proceedings, 2017, Vol.1864 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_proquest_journals_2116075729
source AIP Journals Complete
subjects Data processing
Efficiency
Electricity
Task scheduling
title The task scheduling strategy with the fusion of LIFO and HRF in grid system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T03%3A26%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=The%20task%20scheduling%20strategy%20with%20the%20fusion%20of%20LIFO%20and%20HRF%20in%20grid%20system&rft.btitle=AIP%20conference%20proceedings&rft.au=Gao,%20Chen&rft.date=2017-08-03&rft.volume=1864&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/1.4993034&rft_dat=%3Cproquest_scita%3E2116075729%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2116075729&rft_id=info:pmid/&rfr_iscdi=true