{"id":"https://openalex.org/W1964784756","doi":"https://doi.org/10.1109/ciss.2015.7086884","title":"Energy-aware real-time scheduling on Heterogeneous Multi-Processor","display_name":"Energy-aware real-time scheduling on Heterogeneous Multi-Processor","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1964784756","doi":"https://doi.org/10.1109/ciss.2015.7086884","mag":"1964784756"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101578222","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0003-4542-0511"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"funder","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["CSE Department, University of Connecticut, Storrs, 06269, USA"],"affiliations":[{"raw_affiliation_string":"CSE Department, University of Connecticut, Storrs, 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630070","display_name":"Wenming Li","orcid":"https://orcid.org/0000-0003-4069-2251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Wenming Li","raw_affiliation_strings":["Institute of Computing Technology , Chinese Academy of Sciences , Beijing 100190 , China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology , Chinese Academy of Sciences , Beijing 100190 , China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007411047","display_name":"Xiali Hei","orcid":"https://orcid.org/0000-0002-2438-5430"},"institutions":[{"id":"https://openalex.org/I152830075","display_name":"Frostburg State University","ror":"https://ror.org/048drzm61","country_code":"US","type":"funder","lineage":["https://openalex.org/I152830075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Xiali Hei","raw_affiliation_strings":["CSIT Department, Frostburg State University, MD 21532, USA"],"affiliations":[{"raw_affiliation_string":"CSIT Department, Frostburg State University, MD 21532, USA","institution_ids":["https://openalex.org/I152830075"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.704,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.789165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5095375},{"id":"https://openalex.org/keywords/processor-scheduling","display_name":"Processor scheduling","score":0.48871875},{"id":"https://openalex.org/keywords/fixed-priority-pre-emptive-scheduling","display_name":"Fixed-priority pre-emptive scheduling","score":0.42833126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84061795},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6893854},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6817516},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5721684},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5717099},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5678343},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5369302},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5095375},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4957765},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.48871875},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.4608213},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.45235968},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.42833126},{"id":"https://openalex.org/C32310161","wikidata":"https://www.wikidata.org/wiki/Q666365","display_name":"Earliest deadline first scheduling","level":5,"score":0.4237889},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4231633},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41150922},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.3982764},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38258648},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.372932},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.107898176},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09435806},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.07931894},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.069563895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.91,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1488202922","https://openalex.org/W1986292708","https://openalex.org/W1988937492","https://openalex.org/W2064207294","https://openalex.org/W2079942837","https://openalex.org/W2085606559","https://openalex.org/W2109488193","https://openalex.org/W2112085716","https://openalex.org/W2117299787","https://openalex.org/W2121297016","https://openalex.org/W2134633067","https://openalex.org/W2153059027","https://openalex.org/W2154754551","https://openalex.org/W2155237069","https://openalex.org/W2163550021","https://openalex.org/W4250692521","https://openalex.org/W4252946888"],"related_works":["https://openalex.org/W4300092030","https://openalex.org/W3184267879","https://openalex.org/W2571320194","https://openalex.org/W2404383452","https://openalex.org/W2377321505","https://openalex.org/W2245286458","https://openalex.org/W2167574351","https://openalex.org/W2098651083","https://openalex.org/W2076947091","https://openalex.org/W1545991362"],"abstract_inverted_index":{"Heterogeneous":[0],"Multi-Processor":[1],"has":[2],"been":[3],"steadily":[4],"gaining":[5],"importance":[6],"because":[7],"of":[8,77,90,102,110],"its":[9],"potential":[10],"energy":[11,64,71,103,106,134,140],"efficiency":[12],"compared":[13],"to":[14,34,93,118,122],"homogeneous":[15,32],"multi-processor":[16,33],"architectures.":[17],"Many":[18],"challenges":[19],"for":[20,38,53],"scheduling":[21,88],"algorithms":[22],"on":[23,56],"heterogeneous":[24,35,57],"multi-process":[25],"are":[26],"created":[27],"during":[28],"the":[29,74,100,108,115,120,133,138,144],"shift":[30],"from":[31,66,105],"architectures,":[36],"especially":[37],"real-time":[39,51,87],"applications.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,84],"introduce":[45],"an":[46,63],"optimal":[47],"algorithm,":[48],"using":[49,99,132],"energy-aware":[50],"scheduling,":[52],"multiple":[54],"tasks":[55,111],"multi-core":[58],"processors.":[59],"We":[60],"first":[61],"propose":[62,85],"modelling":[65,135],"both":[67,76],"dynamic":[68],"and":[69,79,142],"static":[70],"perspectives,":[72],"considering":[73],"parameters":[75],"software":[78],"hardware":[80],"levels.":[81],"After":[82],"that":[83,129],"a":[86,94],"policy":[89],"Optimal":[91],"Job":[92],"Fast":[95],"Processor":[96],"First":[97],"(OJFPF)":[98],"parameter":[101],"achieved":[104],"modelling,":[107],"length":[109],"as":[112,114],"well":[113],"local":[116],"priority":[117,121],"assign":[119],"each":[123],"task.":[124],"Our":[125],"simulation":[126],"results":[127],"show":[128],"OJFPF":[130],"algorithm":[131],"significantly":[136],"reduce":[137],"overall":[139],"consumption":[141],"improve":[143],"performance.":[145]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1964784756","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-04-19T03:17:53.872732","created_date":"2016-06-24"}