{"id":"https://openalex.org/W2035522824","doi":"https://doi.org/10.1080/10798587.2009.10643046","title":"Energy-Efficient Scheduling For Small Pervasive Computing Devices Under Fixed-Priority Multi-Subtask Model","display_name":"Energy-Efficient Scheduling For Small Pervasive Computing Devices Under Fixed-Priority Multi-Subtask Model","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2035522824","doi":"https://doi.org/10.1080/10798587.2009.10643046","mag":"2035522824"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2009.10643046","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2009.10643046","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-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/A5073752897","display_name":"Zhigang Gao","orcid":"https://orcid.org/0000-0001-7727-3072"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Gao","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745119","display_name":"Zhaohui Wu","orcid":"https://orcid.org/0000-0003-4622-5419"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Wu","raw_affiliation_strings":["College of Computer Science , Zhejiang University , Hangzhou , Zhejiang , P.R. China , 310027 E-mail: wzh@zju.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science , Zhejiang University , Hangzhou , Zhejiang , P.R. China , 310027 E-mail: wzh@zju.edu.cn","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037144027","display_name":"Man Lin","orcid":"https://orcid.org/0000-0003-1613-8357"},"institutions":[{"id":"https://openalex.org/I197191942","display_name":"St. Francis Xavier University","ror":"https://ror.org/01wcaxs37","country_code":"CA","type":"education","lineage":["https://openalex.org/I197191942"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Man Lin","raw_affiliation_strings":["Department of Mathematics, Statistics and Computer Science , St. Francis Xavier University , Antigonish , NS , Canada , B2G2W5 E-mail: mlin@stfx.ca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Statistics and Computer Science , St. Francis Xavier University , Antigonish , NS , Canada , B2G2W5 E-mail: mlin@stfx.ca","institution_ids":["https://openalex.org/I197191942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3562,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62990943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":"3","first_page":"509","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9916999936103821,"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":0.9423744082450867},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5570820569992065},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48052844405174255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.17629027366638184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9423744082450867},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5570820569992065},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48052844405174255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.17629027366638184},{"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:10.1080/10798587.2009.10643046","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2009.10643046","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9200000166893005,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W205050663","https://openalex.org/W1987645721","https://openalex.org/W2001861238","https://openalex.org/W2004400944","https://openalex.org/W2088337139","https://openalex.org/W2093582532","https://openalex.org/W2099961254","https://openalex.org/W2104947652","https://openalex.org/W2114929667","https://openalex.org/W2121504539","https://openalex.org/W2122408359","https://openalex.org/W2125381034","https://openalex.org/W2132195400","https://openalex.org/W2140058453","https://openalex.org/W2141799278","https://openalex.org/W2141928865","https://openalex.org/W2142941116","https://openalex.org/W2143905089","https://openalex.org/W2148897044","https://openalex.org/W2151796046","https://openalex.org/W2154596969","https://openalex.org/W2155198478","https://openalex.org/W2155237069","https://openalex.org/W2157296855","https://openalex.org/W2166440675","https://openalex.org/W2167625280","https://openalex.org/W2170091282","https://openalex.org/W4229969433","https://openalex.org/W4234736019","https://openalex.org/W6607153400","https://openalex.org/W6675082000","https://openalex.org/W6685117985"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W2393232088"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"a":[2],"pervasive":[3],"computing":[4],"environment,":[5],"energy":[6,31,90],"is":[7],"one":[8],"of":[9,14,33,64,75,81,98],"the":[10,42,55,61,72,79,95],"critical":[11],"restriction":[12],"factors":[13,63],"embedded":[15],"devices.":[16],"Dynamic":[17],"voltage":[18],"scaling":[19],"(DVS)":[20],"has":[21],"been":[22],"proven":[23],"to":[24,59],"be":[25],"an":[26,38],"effective":[27],"method":[28,87],"for":[29],"reducing":[30],"consumption":[32,91],"processors.":[34],"This":[35,47],"paper":[36],"proposes":[37],"energy-saving":[39],"algorithm":[40,48],"under":[41],"fixed":[43],"priority":[44],"multi-subtask":[45],"model.":[46],"includes":[49],"two":[50],"parts:":[51],"fast,":[52],"it":[53,67],"exploits":[54],"relationship":[56],"among":[57],"tasks":[58],"set":[60],"slowdown":[62],"subtasks;":[65],"second,":[66],"dynamically":[68],"reclairns":[69],"and":[70],"reuses":[71],"slack":[73],"time":[74],"precedent":[76],"subtasks":[77],"during":[78],"execution":[80],"tasks.":[82],"Experimental":[83],"results":[84],"show":[85],"this":[86],"can":[88],"reduce":[89],"effectively":[92],"while":[93],"guaranteeing":[94],"real-time":[96],"requirements":[97],"systems.":[99]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
