{"id":"https://openalex.org/W2541672409","doi":"https://doi.org/10.1109/comcomap.2014.7017212","title":"Energy efficient scheduling with probability and task migration considerations for soft real-time systems","display_name":"Energy efficient scheduling with probability and task migration considerations for soft real-time systems","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2541672409","doi":"https://doi.org/10.1109/comcomap.2014.7017212","mag":"2541672409"},"language":"en","primary_location":{"id":"doi:10.1109/comcomap.2014.7017212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comcomap.2014.7017212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Computers, Communications and IT Applications Conference","raw_type":"proceedings-article"},"type":"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/A5100391236","display_name":"Ying Li","orcid":"https://orcid.org/0009-0001-9478-5755"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Li","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053316728","display_name":"Jianwei Niu","orcid":"https://orcid.org/0000-0003-3946-5107"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Niu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045357216","display_name":"Xiang Long","orcid":"https://orcid.org/0000-0002-0589-8839"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Long","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083330935","display_name":"Meikang Qiu","orcid":"https://orcid.org/0000-0002-1004-0140"},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meikang Qiu","raw_affiliation_strings":["Seidenberg School of Computer Science and Information Systems, Pace University, White Plains, NY"],"affiliations":[{"raw_affiliation_string":"Seidenberg School of Computer Science and Information Systems, Pace University, White Plains, NY","institution_ids":["https://openalex.org/I126863827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100391236"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.613,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72237005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"287","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9991999864578247,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.799531102180481},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6893037557601929},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6235448122024536},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6017419099807739},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.6015580892562866},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5976418256759644},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4574517607688904},{"id":"https://openalex.org/keywords/successor-cardinal","display_name":"Successor cardinal","score":0.4445052146911621},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4341738224029541},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4145911931991577},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3904590606689453},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3772827386856079},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33594733476638794},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16239777207374573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13993072509765625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0987134575843811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799531102180481},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6893037557601929},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6235448122024536},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6017419099807739},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.6015580892562866},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5976418256759644},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4574517607688904},{"id":"https://openalex.org/C75306776","wikidata":"https://www.wikidata.org/wiki/Q7632662","display_name":"Successor cardinal","level":2,"score":0.4445052146911621},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4341738224029541},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4145911931991577},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3904590606689453},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3772827386856079},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33594733476638794},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16239777207374573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13993072509765625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0987134575843811},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comcomap.2014.7017212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comcomap.2014.7017212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Computers, Communications and IT Applications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1605542117","https://openalex.org/W2047700333","https://openalex.org/W2110808230","https://openalex.org/W2118306382","https://openalex.org/W2122084979","https://openalex.org/W2130367242","https://openalex.org/W2133644778","https://openalex.org/W2154390351","https://openalex.org/W2154597980","https://openalex.org/W2156252747","https://openalex.org/W2159809235","https://openalex.org/W2161234287","https://openalex.org/W2169242418","https://openalex.org/W2171717586","https://openalex.org/W3151356109","https://openalex.org/W6677808483","https://openalex.org/W6683664198"],"related_works":["https://openalex.org/W2473542051","https://openalex.org/W3123320268","https://openalex.org/W2994519609","https://openalex.org/W2726593096","https://openalex.org/W2054269721","https://openalex.org/W4235459050","https://openalex.org/W2767501615","https://openalex.org/W2390822611","https://openalex.org/W2908217413","https://openalex.org/W2158654672"],"abstract_inverted_index":{"The":[0,194],"main":[1],"challenges":[2],"for":[3,35,115,182],"embedded":[4],"real-time":[5,21,43,51],"systems":[6,22,44,52],"which":[7,93],"use":[8],"battery":[9],"as":[10],"their":[11],"power":[12],"supply":[13],"are":[14,60],"both":[15],"to":[16,87,126,133,138,154,164,176,184],"satisfy":[17,95],"the":[18,25,31,89,96,102,147,156,178,189],"requirements":[19,97],"of":[20,98,106,149,191,209],"and":[23,58,74,81,117,141,168,173],"minimize":[24],"energy":[26,32,91,152,158,186],"consumption.":[27],"This":[28],"paper":[29,69,123,145],"studies":[30],"saving":[33],"problem":[34],"DAG":[36],"(Directed":[37],"Acyclic":[38],"Graph)":[39],"tasks":[40,59,129,181],"in":[41,204],"soft":[42,50],"with":[45,64,84],"heterogeneous":[46],"multicore":[47,111],"processors.":[48],"Since":[49],"can":[53,94,130],"tolerate":[54],"occasional":[55],"time":[56,99],"violations":[57],"completed":[61],"before":[62],"deadlines":[63],"a":[65,71,160,165],"given":[66,103],"probability,":[67],"this":[68,122,144,205],"proposes":[70],"novel":[72],"processor":[73,112],"voltage":[75],"assignment":[76,114],"scheme":[77],"-":[78],"Adaptive":[79],"Processor":[80],"Voltage":[82],"Assignment":[83],"Probability":[85],"(APVAP)":[86],"realize":[88],"minimum":[90],"consumption":[92,187],"constraints":[100],"under":[101],"probability.":[104],"Most":[105],"previous":[107],"work":[108],"focuses":[109],"on":[110],"task":[113,139,161],"predecessor":[116],"successor":[118,128],"(P-S)":[119],"tasks.":[120],"However,":[121],"introduced":[124],"affinity":[125],"indicate":[127],"be":[131],"re-allocated":[132],"more":[134],"appropriate":[135],"cores":[136],"according":[137],"features":[140],"workload.":[142],"Besides,":[143],"introduces":[146],"concept":[148],"data":[150],"migration":[151,183],"(DME)":[153],"compute":[155],"transmission":[157],"when":[159],"is":[162],"migrated":[163],"different":[166],"core":[167],"adopts":[169],"Ratio":[170],"between":[171],"Time":[172],"Energy":[174],"(RTE)":[175],"determine":[177],"most":[179],"suitable":[180],"reduce":[185],"at":[188],"cost":[190],"execution":[192],"time.":[193],"experimental":[195],"results":[196],"demonstrate":[197],"that":[198],"our":[199],"approach":[200],"outperforms":[201],"state-of-the-art":[202],"algorithms":[203],"field":[206],"(maximum":[207],"improvement":[208],"30.7%).":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}