Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation

Anticipatory scheduling (AS) of Linux I/O schedule layer assigns fixed anticipation period length to each process.It will introduce extra delay if I/O request does not arrive in time.The improved anticipatory scheduling (WPCAS) algorithm is proposed which is based on workload characteristic and serv...

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Main Authors: Jin-zhong CHEN, Nian-min YAO, Shao-bin CAI, Mei-ling SUN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015018
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author Jin-zhong CHEN
Nian-min YAO
Shao-bin CAI
Mei-ling SUN
author_facet Jin-zhong CHEN
Nian-min YAO
Shao-bin CAI
Mei-ling SUN
author_sort Jin-zhong CHEN
collection DOAJ
description Anticipatory scheduling (AS) of Linux I/O schedule layer assigns fixed anticipation period length to each process.It will introduce extra delay if I/O request does not arrive in time.The improved anticipatory scheduling (WPCAS) algorithm is proposed which is based on workload characteristic and service time.WPCAS includes process classifier(PC) module and request service time evaluation (STE) module.PC module assigns different anticipation period lengths in terms of workload characteristic.STE module decides whether to anticipate the coming request according to service time.Experimental results show that WPCAS algorithm is superior to 95%-Heuristic and AS in terms of throughput,average waiting time of anticipation success and deceptive idleness.
format Article
id doaj-art-9430043efdbc4e79a5890ee3be8b8b2a
institution OA Journals
issn 1000-436X
language zho
publishDate 2015-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9430043efdbc4e79a5890ee3be8b8b2a2025-08-20T02:09:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-01-013615916659690175Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluationJin-zhong CHENNian-min YAOShao-bin CAIMei-ling SUNAnticipatory scheduling (AS) of Linux I/O schedule layer assigns fixed anticipation period length to each process.It will introduce extra delay if I/O request does not arrive in time.The improved anticipatory scheduling (WPCAS) algorithm is proposed which is based on workload characteristic and service time.WPCAS includes process classifier(PC) module and request service time evaluation (STE) module.PC module assigns different anticipation period lengths in terms of workload characteristic.STE module decides whether to anticipate the coming request according to service time.Experimental results show that WPCAS algorithm is superior to 95%-Heuristic and AS in terms of throughput,average waiting time of anticipation success and deceptive idleness.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015018storage system;I/O schedule layer;AS;WPCAS;service time
spellingShingle Jin-zhong CHEN
Nian-min YAO
Shao-bin CAI
Mei-ling SUN
Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
Tongxin xuebao
storage system;I/O schedule layer;AS;WPCAS;service time
title Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
title_full Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
title_fullStr Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
title_full_unstemmed Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
title_short Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
title_sort improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation
topic storage system;I/O schedule layer;AS;WPCAS;service time
url http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015018
work_keys_str_mv AT jinzhongchen improvedanticipatoryschedulingalgorithmbasedonworkloadcharacteristicandservicetimeevaluation
AT nianminyao improvedanticipatoryschedulingalgorithmbasedonworkloadcharacteristicandservicetimeevaluation
AT shaobincai improvedanticipatoryschedulingalgorithmbasedonworkloadcharacteristicandservicetimeevaluation
AT meilingsun improvedanticipatoryschedulingalgorithmbasedonworkloadcharacteristicandservicetimeevaluation