Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review

Multi-core processor technology has been enhanced spectacularly and it is reasonably good in performance than single core processors thereby having the potential to enable computationintensive real-time applications with precise timing constraints. Mostly traditional multiprocessor real - time sched...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of advanced computer research 2012-12, Vol.2 (4), p.48-48
Hauptverfasser: Lokhande, Mahesh, Atique, Mohd
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 48
container_issue 4
container_start_page 48
container_title International journal of advanced computer research
container_volume 2
creator Lokhande, Mahesh
Atique, Mohd
description Multi-core processor technology has been enhanced spectacularly and it is reasonably good in performance than single core processors thereby having the potential to enable computationintensive real-time applications with precise timing constraints. Mostly traditional multiprocessor real - time scheduling is stick to Sequential models which ignore intra-task parallelism while Parallel models such as OpenMP have the capability to parallelize specific segments of tasks, thereby leading to shorter response times when possible. In this paper various research papers have been reviewed and are categorized as Sequential Real-Time Task based Research and Parallel Real-Time Task based Research. Also various approaches such as task splitting techniques, scheduling policies and techniques used are considered for comparing real time task scheduling in multi-core processors.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1349445326</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1349445326</sourcerecordid><originalsourceid>FETCH-LOGICAL-p616-1cc229a4d21b0a5651e437dccbb223f305313630fdcb7784666aeea3b2df4a533</originalsourceid><addsrcrecordid>eNpdjk1LAzEURQdRsNT-h4AbN4Ek700ysyzFL2ix6KzcDJnMG42mk5p09O9b0ZWre7gcLvekmCllDDe1Eac_jDU3x-K8WOTsO4FoUKhKzIrnR7KBN35H7Mm9Uj8FP76wISa2tcmGQIE1Nr-zTewpZBZHtpnCwXMXE7Ftio5yjikzzpbMJX_wzgaW6NPT10VxNtiQafGX86K5uW5Wd3z9cHu_Wq75XkvNpXNK1RZ7JTthS11KQjC9c12nFAwgSpCgQQy964ypUGttiSx0qh_QlgDz4up3dp_ix0T50O58dhSCHSlOuZWANWIJSh_Vy3_qW5zSeDzXSlVVGgBRwzcdYFzp</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1288633446</pqid></control><display><type>article</type><title>Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Lokhande, Mahesh ; Atique, Mohd</creator><creatorcontrib>Lokhande, Mahesh ; Atique, Mohd</creatorcontrib><description>Multi-core processor technology has been enhanced spectacularly and it is reasonably good in performance than single core processors thereby having the potential to enable computationintensive real-time applications with precise timing constraints. Mostly traditional multiprocessor real - time scheduling is stick to Sequential models which ignore intra-task parallelism while Parallel models such as OpenMP have the capability to parallelize specific segments of tasks, thereby leading to shorter response times when possible. In this paper various research papers have been reviewed and are categorized as Sequential Real-Time Task based Research and Parallel Real-Time Task based Research. Also various approaches such as task splitting techniques, scheduling policies and techniques used are considered for comparing real time task scheduling in multi-core processors.</description><identifier>ISSN: 2249-7277</identifier><identifier>EISSN: 2277-7970</identifier><language>eng</language><publisher>Bhopal: Accent Social and Welfare Society</publisher><subject>Computation ; Mathematical models ; Processors ; Real time ; Scheduling ; Segments ; Splitting ; Tasks</subject><ispartof>International journal of advanced computer research, 2012-12, Vol.2 (4), p.48-48</ispartof><rights>Copyright International Journal of Advanced Computer Research Dec 2012</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Lokhande, Mahesh</creatorcontrib><creatorcontrib>Atique, Mohd</creatorcontrib><title>Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review</title><title>International journal of advanced computer research</title><description>Multi-core processor technology has been enhanced spectacularly and it is reasonably good in performance than single core processors thereby having the potential to enable computationintensive real-time applications with precise timing constraints. Mostly traditional multiprocessor real - time scheduling is stick to Sequential models which ignore intra-task parallelism while Parallel models such as OpenMP have the capability to parallelize specific segments of tasks, thereby leading to shorter response times when possible. In this paper various research papers have been reviewed and are categorized as Sequential Real-Time Task based Research and Parallel Real-Time Task based Research. Also various approaches such as task splitting techniques, scheduling policies and techniques used are considered for comparing real time task scheduling in multi-core processors.</description><subject>Computation</subject><subject>Mathematical models</subject><subject>Processors</subject><subject>Real time</subject><subject>Scheduling</subject><subject>Segments</subject><subject>Splitting</subject><subject>Tasks</subject><issn>2249-7277</issn><issn>2277-7970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdjk1LAzEURQdRsNT-h4AbN4Ek700ysyzFL2ix6KzcDJnMG42mk5p09O9b0ZWre7gcLvekmCllDDe1Eac_jDU3x-K8WOTsO4FoUKhKzIrnR7KBN35H7Mm9Uj8FP76wISa2tcmGQIE1Nr-zTewpZBZHtpnCwXMXE7Ftio5yjikzzpbMJX_wzgaW6NPT10VxNtiQafGX86K5uW5Wd3z9cHu_Wq75XkvNpXNK1RZ7JTthS11KQjC9c12nFAwgSpCgQQy964ypUGttiSx0qh_QlgDz4up3dp_ix0T50O58dhSCHSlOuZWANWIJSh_Vy3_qW5zSeDzXSlVVGgBRwzcdYFzp</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Lokhande, Mahesh</creator><creator>Atique, Mohd</creator><general>Accent Social and Welfare Society</general><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20121201</creationdate><title>Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review</title><author>Lokhande, Mahesh ; Atique, Mohd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p616-1cc229a4d21b0a5651e437dccbb223f305313630fdcb7784666aeea3b2df4a533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computation</topic><topic>Mathematical models</topic><topic>Processors</topic><topic>Real time</topic><topic>Scheduling</topic><topic>Segments</topic><topic>Splitting</topic><topic>Tasks</topic><toplevel>online_resources</toplevel><creatorcontrib>Lokhande, Mahesh</creatorcontrib><creatorcontrib>Atique, Mohd</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of advanced computer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lokhande, Mahesh</au><au>Atique, Mohd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review</atitle><jtitle>International journal of advanced computer research</jtitle><date>2012-12-01</date><risdate>2012</risdate><volume>2</volume><issue>4</issue><spage>48</spage><epage>48</epage><pages>48-48</pages><issn>2249-7277</issn><eissn>2277-7970</eissn><abstract>Multi-core processor technology has been enhanced spectacularly and it is reasonably good in performance than single core processors thereby having the potential to enable computationintensive real-time applications with precise timing constraints. Mostly traditional multiprocessor real - time scheduling is stick to Sequential models which ignore intra-task parallelism while Parallel models such as OpenMP have the capability to parallelize specific segments of tasks, thereby leading to shorter response times when possible. In this paper various research papers have been reviewed and are categorized as Sequential Real-Time Task based Research and Parallel Real-Time Task based Research. Also various approaches such as task splitting techniques, scheduling policies and techniques used are considered for comparing real time task scheduling in multi-core processors.</abstract><cop>Bhopal</cop><pub>Accent Social and Welfare Society</pub><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2249-7277
ispartof International journal of advanced computer research, 2012-12, Vol.2 (4), p.48-48
issn 2249-7277
2277-7970
language eng
recordid cdi_proquest_miscellaneous_1349445326
source EZB-FREE-00999 freely available EZB journals
subjects Computation
Mathematical models
Processors
Real time
Scheduling
Segments
Splitting
Tasks
title Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T00%3A14%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Real-Time%20Scheduling%20for%20Parallel%20Task%20Models%20on%20Multi-core%20Processors%20-%20A%20critical%20review&rft.jtitle=International%20journal%20of%20advanced%20computer%20research&rft.au=Lokhande,%20Mahesh&rft.date=2012-12-01&rft.volume=2&rft.issue=4&rft.spage=48&rft.epage=48&rft.pages=48-48&rft.issn=2249-7277&rft.eissn=2277-7970&rft_id=info:doi/&rft_dat=%3Cproquest%3E1349445326%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1288633446&rft_id=info:pmid/&rfr_iscdi=true