{"id":"https://openalex.org/W2128589366","doi":"https://doi.org/10.1145/1324969.1324972","title":"Exploiting synchronous and asynchronous DVS for feedback EDF scheduling on an embedded platform","display_name":"Exploiting synchronous and asynchronous DVS for feedback EDF scheduling on an embedded platform","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2128589366","doi":"https://doi.org/10.1145/1324969.1324972","mag":"2128589366"},"language":"en","primary_location":{"id":"doi:10.1145/1324969.1324972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1324969.1324972","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing 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/A5101755783","display_name":"Yifan Zhu","orcid":"https://orcid.org/0000-0001-8541-4496"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Zhu","raw_affiliation_strings":["North Carolina State University, Raleigh, North Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, North Carolina","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107279953","display_name":"Frank Mueller","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Mueller","raw_affiliation_strings":["North Carolina State University, Raleigh, North Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, North Carolina","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":1.5731,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84243309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-voltage-scaling","display_name":"Dynamic voltage scaling","score":0.8546141982078552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8525310754776001},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.8082804679870605},{"id":"https://openalex.org/keywords/powerpc","display_name":"PowerPC","score":0.7548325657844543},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5835216045379639},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5809669494628906},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5460101366043091},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.47986072301864624},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4413388669490814},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.42799222469329834},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.36510801315307617},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33541548252105713},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.19928580522537231},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10200327634811401},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08093932271003723}],"concepts":[{"id":"https://openalex.org/C2776047111","wikidata":"https://www.wikidata.org/wiki/Q632037","display_name":"Dynamic voltage scaling","level":3,"score":0.8546141982078552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525310754776001},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8082804679870605},{"id":"https://openalex.org/C56005371","wikidata":"https://www.wikidata.org/wiki/Q209860","display_name":"PowerPC","level":3,"score":0.7548325657844543},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5835216045379639},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5809669494628906},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5460101366043091},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.47986072301864624},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4413388669490814},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.42799222469329834},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.36510801315307617},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33541548252105713},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.19928580522537231},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10200327634811401},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08093932271003723},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1324969.1324972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1324969.1324972","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.72.148","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://moss.csc.ncsu.edu/~mueller/ftp/pub/mueller/papers/tecs06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G1476474288","display_name":null,"funder_award_id":"CCR-0208581CCR-0310860CCR-0312695","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W118540524","https://openalex.org/W1498377432","https://openalex.org/W1544439962","https://openalex.org/W1633471522","https://openalex.org/W1941177221","https://openalex.org/W1969222724","https://openalex.org/W1984624661","https://openalex.org/W1988152886","https://openalex.org/W2002377960","https://openalex.org/W2005456951","https://openalex.org/W2013870998","https://openalex.org/W2057146499","https://openalex.org/W2060019446","https://openalex.org/W2075086017","https://openalex.org/W2093582532","https://openalex.org/W2100376361","https://openalex.org/W2105114084","https://openalex.org/W2108583424","https://openalex.org/W2112601174","https://openalex.org/W2120530619","https://openalex.org/W2125381034","https://openalex.org/W2128838486","https://openalex.org/W2135985017","https://openalex.org/W2148897044","https://openalex.org/W2154596969","https://openalex.org/W2166243422","https://openalex.org/W2169325765","https://openalex.org/W4232992430","https://openalex.org/W4236111678","https://openalex.org/W4245526443","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2144573411","https://openalex.org/W2384231653","https://openalex.org/W588477263","https://openalex.org/W2131623151","https://openalex.org/W2131949629","https://openalex.org/W2384108783","https://openalex.org/W4252463061","https://openalex.org/W2024512547","https://openalex.org/W2382865828","https://openalex.org/W2128589366"],"abstract_inverted_index":{"Contemporary":[0],"processors":[1],"support":[2],"dynamic":[3],"voltage":[4],"scaling":[5],"(DVS)":[6],"to":[7,27,62],"reduce":[8],"power":[9],"consumption":[10,43],"by":[11],"varying":[12],"processor":[13],"voltage/frequency":[14],"dynamically.":[15],"We":[16,40],"develop":[17],"power-aware":[18],"feedback--DVS":[19],"algorithms":[20,32],"for":[21,44,67],"hard":[22],"real-time":[23],"systems":[24],"that":[25],"adapt":[26],"dynamically":[28],"changing":[29],"workloads.":[30],"The":[31],"lower":[33],"execution":[34],"speed":[35],"while":[36],"guaranteeing":[37],"timing":[38],"constraints.":[39],"study":[41],"energy":[42],"synchronous":[45],"and":[46],"asynchronous":[47],"DVS":[48,66],"switching":[49],"on":[50,96],"a":[51],"PowerPC":[52],"board.":[53,99],"Energy,":[54],"measured":[55],"via":[56],"data":[57],"acquisition,":[58],"is":[59],"reduced":[60],"up":[61],"70%":[63],"over":[64,75],"na\u00efve":[65],"our":[68],"feedback":[69],"scheme":[70],"with":[71],"24%":[72],"peak":[73],"savings":[74],"previous":[76],"algorithms.":[77],"These":[78],"results,":[79],"albeit":[80],"differing":[81],"in":[82],"quantity,":[83],"confirm":[84],"trends":[85],"observed":[86],"under":[87],"simulation.":[88],"They":[89],"are":[90],"the":[91],"first":[92],"of":[93],"their":[94],"kind":[95],"an":[97],"embedded":[98]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}