{"id":"https://openalex.org/W2113863926","doi":"https://doi.org/10.1109/tcad.2009.2024706","title":"Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling","display_name":"Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling","publication_year":2009,"publication_date":"2009-08-24","ids":{"openalex":"https://openalex.org/W2113863926","doi":"https://doi.org/10.1109/tcad.2009.2024706","mag":"2113863926"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2009.2024706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2009.2024706","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","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/A5012305233","display_name":"Sung-Yong Bang","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Yong Bang","raw_affiliation_strings":["Mobile Communication Research and Development Group, Mobile Communication Division, Samsung Electronics Company Limited, Suwon, Gyeonggi, South Korea","School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Communication Research and Development Group, Mobile Communication Division, Samsung Electronics Company Limited, Suwon, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045167375","display_name":"Kwanhu Bang","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanhu Bang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086877012","display_name":"Sungroh Yoon","orcid":"https://orcid.org/0000-0002-2367-197X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungroh Yoon","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084016800","display_name":"Eui-Young Chung","orcid":"https://orcid.org/0000-0003-2013-8763"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eui-Young Chung","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3106,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.97908781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":"9","first_page":"1334","last_page":"1347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.996999979019165,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/workload","display_name":"Workload","score":0.8341262936592102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8340617418289185},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5698442459106445},{"id":"https://openalex.org/keywords/dynamic-voltage-scaling","display_name":"Dynamic voltage scaling","score":0.48771533370018005},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.46177470684051514},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.44673606753349304},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.2679417133331299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12961679697036743},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09695041179656982}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8341262936592102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340617418289185},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5698442459106445},{"id":"https://openalex.org/C2776047111","wikidata":"https://www.wikidata.org/wiki/Q632037","display_name":"Dynamic voltage scaling","level":3,"score":0.48771533370018005},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.46177470684051514},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.44673606753349304},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2679417133331299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12961679697036743},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09695041179656982},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2009.2024706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2009.2024706","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W73200515","https://openalex.org/W118540524","https://openalex.org/W148399572","https://openalex.org/W1492221128","https://openalex.org/W1522951882","https://openalex.org/W1576861458","https://openalex.org/W1974295681","https://openalex.org/W1987554710","https://openalex.org/W1989098018","https://openalex.org/W1996363841","https://openalex.org/W1999542175","https://openalex.org/W2004751569","https://openalex.org/W2036693362","https://openalex.org/W2063692799","https://openalex.org/W2088337139","https://openalex.org/W2096557916","https://openalex.org/W2099961254","https://openalex.org/W2105524902","https://openalex.org/W2108583424","https://openalex.org/W2110127597","https://openalex.org/W2110137854","https://openalex.org/W2111541830","https://openalex.org/W2118934159","https://openalex.org/W2121060358","https://openalex.org/W2122713250","https://openalex.org/W2126537242","https://openalex.org/W2128733202","https://openalex.org/W2130048998","https://openalex.org/W2130790705","https://openalex.org/W2136928470","https://openalex.org/W2145938889","https://openalex.org/W2148522078","https://openalex.org/W2157399715","https://openalex.org/W2158027584","https://openalex.org/W2160398920","https://openalex.org/W2163180755","https://openalex.org/W2164762242","https://openalex.org/W2167371709","https://openalex.org/W2170536326","https://openalex.org/W3022404379","https://openalex.org/W4232066835","https://openalex.org/W4237927190","https://openalex.org/W4238766305","https://openalex.org/W4241835971","https://openalex.org/W4254521933","https://openalex.org/W4254807025","https://openalex.org/W4255958858","https://openalex.org/W6602936032","https://openalex.org/W6605980707","https://openalex.org/W6683841741"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"<para":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[2],"Dynamic":[3],"voltage":[4],"scaling":[5],"(DVS)":[6],"is":[7,131,228,274,278,293],"a":[8,122,146,185],"popular":[9],"energy-saving":[10],"technique":[11,126,130,200,273],"for":[12,127,270],"real-time":[13],"tasks.":[14],"The":[15],"effectiveness":[16],"of":[17,24,65,117,143,165,179,216,225,267,290,303],"DVS":[18,28,43],"critically":[19],"depends":[20],"on":[21,133,253],"the":[22,30,33,36,51,63,134,140,160,177,198,202,208,223,232,265,271,279,288,298],"accuracy":[23,224,234],"workload":[25,66,83,124],"estimation,":[26],"since":[27],"exploits":[29],"slack":[31],"or":[32,53,308],"difference":[34],"between":[35],"deadline":[37,258],"and":[38,48,68,85,137,148,188,214],"execution":[39,55],"time.":[40],"Many":[41],"existing":[42,118],"techniques":[44],"are":[45,106,306],"profile":[46],"based":[47,132],"simply":[49],"utilize":[50],"worst-case":[52],"average":[54,266],"time":[56,142],"without":[57],"estimation.":[58],"Several":[59],"recent":[60],"approaches":[61,75],"recognize":[62],"importance":[64],"estimation":[67,71,125,154],"adopt":[69],"statistical":[70],"techniques.":[72],"However,":[73],"these":[74,115],"still":[76],"require":[77],"extensive":[78],"profiling":[79],"to":[80,98,110,207,210,231,283],"extract":[81],"reliable":[82],"statistics":[84],"furthermore":[86],"cannot":[87],"effectively":[88],"handle":[89,99],"time-varying":[90],"workloads.":[91],"Feedback-control-based":[92],"adaptive":[93],"algorithms":[94],"have":[95],"been":[96],"proposed":[97,161,199,272],"such":[100],"nonstationary":[101],"workloads,":[102],"but":[103],"their":[104],"results":[105,241],"often":[107],"too":[108],"sensitive":[109],"parameter":[111],"selection.":[112],"To":[113,174],"overcome":[114],"limitations":[116],"approaches,":[119],"we":[120,182,220],"propose":[121],"novel":[123],"DVS.":[128],"This":[129],"Kalman":[135],"filter":[136],"can":[138,247],"estimate":[139],"processing":[141],"workloads":[144,164],"in":[145,297],"robust":[147],"accurate":[149],"manner":[150],"by":[151,156,237,251,295],"adaptively":[152],"calibrating":[153],"error":[155],"feedback.":[157],"We":[158],"tested":[159],"method":[162,292],"with":[163,205,256],"various":[166],"characteristics":[167],"extracted":[168],"from":[169],"eight":[170],"MPEG":[171],"video":[172],"clips.":[173],"thoroughly":[175],"evaluate":[176],"performance":[178],"our":[180,226,245,291],"approach,":[181],"used":[183],"both":[184],"cycle-accurate":[186],"simulator":[187],"an":[189],"XScale-based":[190],"test":[191],"board.":[192],"Our":[193],"simulation":[194],"result":[195],"demonstrates":[196],"that":[197,222,243],"outperforms":[201],"compared":[203,282],"alternatives":[204],"respect":[206],"ability":[209],"meet":[211],"given":[212],"timing":[213],"Quality":[215],"Service":[217],"constraints.":[218],"Furthermore,":[219],"found":[221],"approach":[227,246],"almost":[229],"comparable":[230],"oracle":[233],"achievable":[235],"only":[236,255],"offline":[238],"analysis.":[239],"Experimental":[240],"indicate":[242],"using":[244],"reduce":[248],"energy":[249],"consumption":[250],"57.5%":[252],"average,":[254],"negligible":[257],"miss":[259],"ratio":[260],"(DMR)":[261],"around":[262],"6.1%.":[263],"Moreover,":[264],"computational":[268],"overheads":[269],"just":[275],"0.3%,":[276],"which":[277],"minimum":[280],"value":[281],"other":[284,304],"methods.":[285],"More":[286],"importantly,":[287],"DMR":[289],"bounded":[294],"11.7%":[296],"worst":[299],"case,":[300],"while":[301],"those":[302],"methods":[305],"twice":[307],"more":[309],"than":[310],"ours.":[311],"</para>":[312]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":16}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
