{"id":"https://openalex.org/W2885584382","doi":"https://doi.org/10.1145/3225058.3225088","title":"Energy-efficient Application Resource Scheduling using Machine Learning Classifiers","display_name":"Energy-efficient Application Resource Scheduling using Machine Learning Classifiers","publication_year":2018,"publication_date":"2018-08-08","ids":{"openalex":"https://openalex.org/W2885584382","doi":"https://doi.org/10.1145/3225058.3225088","mag":"2885584382"},"language":"en","primary_location":{"id":"doi:10.1145/3225058.3225088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3225058.3225088","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3225058.3225088","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3225058.3225088","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003773058","display_name":"Connor Imes","orcid":"https://orcid.org/0000-0003-1683-8353"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Connor Imes","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016671058","display_name":"Steven Hofmeyr","orcid":"https://orcid.org/0000-0002-3299-472X"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Hofmeyr","raw_affiliation_strings":["Lawrence Berkeley National Laboratory"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080833704","display_name":"Henry Hoffmann","orcid":"https://orcid.org/0000-0003-0816-8150"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Hoffmann","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003773058"],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":5.2548,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96168936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9993000030517578,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8684849143028259},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6773837804794312},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.6718875765800476},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6539795994758606},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6036929488182068},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5943944454193115},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4752984941005707},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.41917258501052856},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1673964560031891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8684849143028259},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6773837804794312},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.6718875765800476},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6539795994758606},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6036929488182068},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5943944454193115},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4752984941005707},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.41917258501052856},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1673964560031891},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3225058.3225088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3225058.3225088","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3225058.3225088","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3225058.3225088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3225058.3225088","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3225058.3225088","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2509780739","display_name":null,"funder_award_id":"CCF-1439156","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3370770584","display_name":"CSR: Small: BreezeFS: File System Transformation for Cloud and Multistore Era","funder_award_id":"1526304","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3867965229","display_name":null,"funder_award_id":"CNS-1526304","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3976566516","display_name":"XPS: FULL: CCA: Collaborative Research: CASH: Cost-aware Adaptation of Software and Hardware","funder_award_id":"1439156","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5120971352","display_name":null,"funder_award_id":"BRASS","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7938963221","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320337674","funder_display_name":"Wind Energy Technologies Office"},{"id":"https://openalex.org/G8253966194","display_name":null,"funder_award_id":"FA8570-16-2-0004","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337674","display_name":"Wind Energy Technologies Office","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2885584382.pdf","grobid_xml":"https://content.openalex.org/works/W2885584382.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W583100948","https://openalex.org/W1495021188","https://openalex.org/W1678356000","https://openalex.org/W1967359646","https://openalex.org/W1973923004","https://openalex.org/W1977661221","https://openalex.org/W1983545421","https://openalex.org/W1994909161","https://openalex.org/W2005202728","https://openalex.org/W2009040830","https://openalex.org/W2017291426","https://openalex.org/W2032136713","https://openalex.org/W2039789965","https://openalex.org/W2041864621","https://openalex.org/W2045793256","https://openalex.org/W2056132907","https://openalex.org/W2080663940","https://openalex.org/W2083327120","https://openalex.org/W2092991224","https://openalex.org/W2101234009","https://openalex.org/W2102709380","https://openalex.org/W2113679889","https://openalex.org/W2121048281","https://openalex.org/W2124275906","https://openalex.org/W2141920662","https://openalex.org/W2143624342","https://openalex.org/W2154555766","https://openalex.org/W2159175944","https://openalex.org/W2160121678","https://openalex.org/W2166161564","https://openalex.org/W2273814233","https://openalex.org/W2296250660","https://openalex.org/W2329908127","https://openalex.org/W2337228275","https://openalex.org/W2337975252","https://openalex.org/W2340816002","https://openalex.org/W2401313401","https://openalex.org/W2412864092","https://openalex.org/W2417690246","https://openalex.org/W2520829133","https://openalex.org/W2521708680","https://openalex.org/W2536542975","https://openalex.org/W2770126384","https://openalex.org/W2792814682","https://openalex.org/W2898924875","https://openalex.org/W3022436500","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2017432143","https://openalex.org/W1973694374","https://openalex.org/W2983574358","https://openalex.org/W2370475531","https://openalex.org/W4385924768","https://openalex.org/W4256551238","https://openalex.org/W2552656578","https://openalex.org/W2613651632","https://openalex.org/W179829755","https://openalex.org/W1993210935"],"abstract_inverted_index":{"Resource":[0],"scheduling":[1,95],"in":[2,138,148,161],"high":[3],"performance":[4,35,77],"computing":[5],"(HPC)":[6],"usually":[7],"aims":[8],"to":[9,79,86,98],"minimize":[10],"application":[11,55,89,100,182],"runtime":[12,139],"rather":[13],"than":[14],"optimize":[15],"for":[16,50,157,163,176],"energy":[17,26,46,51,118,179],"efficiency.":[18,47],"Most":[19],"existing":[20],"research":[21],"on":[22,106,127],"reducing":[23],"power":[24,149],"and":[25,129],"consumption":[27,119],"imposes":[28],"the":[29,61,81,121,155],"constraint":[30],"that":[31,171],"little":[32],"or":[33],"no":[34],"loss":[36],"is":[37,142,174],"allowed,":[38],"which":[39,91,152],"improves":[40],"but":[41],"still":[42],"does":[43],"not":[44],"maximize":[45],"By":[48],"optimizing":[49,178],"efficiency":[52,180],"instead":[53],"of":[54,63,140],"turnaround":[56],"time,":[57],"we":[58,153],"can":[59],"reduce":[60],"cost":[62],"running":[64],"scientific":[65],"applications.":[66],"We":[67,102],"propose":[68],"using":[69,111],"machine":[70],"learning":[71],"classification,":[72],"driven":[73],"by":[74,125,130,144],"low-level":[75],"hardware":[76],"counters,":[78],"predict":[80],"most":[82],"energy-efficient":[83],"resource":[84,94],"settings":[85],"use":[87],"during":[88,181],"runtime,":[90],"unlike":[92],"static":[93],"dynamically":[96,177],"adapts":[97],"changing":[99],"behavior.":[101],"evaluate":[103],"our":[104],"approach":[105],"a":[107,145,158],"large":[108],"shared-memory":[109],"system":[110],"four":[112],"complex":[113],"bioinformatic":[114],"HPC":[115],"applications,":[116],"decreasing":[117],"over":[120],"naive":[122],"race":[123],"scheduler":[124],"20%":[126],"average,":[128],"as":[131,133],"much":[132],"38%.":[134],"An":[135],"average":[136],"increase":[137,160],"31%":[141],"dominated":[143],"39%":[146],"reduction":[147],"consumption,":[150],"from":[151],"extrapolate":[154],"potential":[156],"24%":[159],"throughput":[162],"future":[164],"over-provisioned,":[165],"power-constrained":[166],"clusters.":[167],"This":[168],"work":[169],"demonstrates":[170],"low-overhead":[172],"classification":[173],"suitable":[175],"runtime.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}