{"id":"https://openalex.org/W2798515322","doi":"https://doi.org/10.1145/3190508.3190517","title":"Optimus","display_name":"Optimus","publication_year":2018,"publication_date":"2018-04-18","ids":{"openalex":"https://openalex.org/W2798515322","doi":"https://doi.org/10.1145/3190508.3190517","mag":"2798515322"},"language":"en","primary_location":{"id":"doi:10.1145/3190508.3190517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3190508.3190517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth EuroSys 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/A5013856812","display_name":"Yanghua Peng","orcid":"https://orcid.org/0000-0003-3989-4358"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yanghua Peng","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054679083","display_name":"Yixin Bao","orcid":"https://orcid.org/0000-0002-6921-2154"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yixin Bao","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062504314","display_name":"Yangrui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangrui Chen","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012597518","display_name":"Chuan Wu","orcid":"https://orcid.org/0000-0002-3144-4398"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chuan Wu","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054205326","display_name":"Chuanxiong Guo","orcid":"https://orcid.org/0000-0002-0730-8468"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanxiong Guo","raw_affiliation_strings":["Bytedance Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":73.6765,"has_fulltext":false,"cited_by_count":400,"citation_normalized_percentile":{"value":0.99909647,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9969000220298767,"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":0.8283896446228027},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7388684153556824},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6521618366241455},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5807442665100098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734127163887024},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5668516159057617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4448619782924652},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42919665575027466},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4181568920612335},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.25469326972961426},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10958611965179443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8283896446228027},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7388684153556824},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6521618366241455},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5807442665100098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734127163887024},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5668516159057617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4448619782924652},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42919665575027466},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4181568920612335},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.25469326972961426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10958611965179443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3190508.3190517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3190508.3190517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth EuroSys Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1890643295","https://openalex.org/W1979567624","https://openalex.org/W2018162709","https://openalex.org/W2025549137","https://openalex.org/W2041517243","https://openalex.org/W2071678527","https://openalex.org/W2074702228","https://openalex.org/W2074988668","https://openalex.org/W2083842231","https://openalex.org/W2105947650","https://openalex.org/W2109380537","https://openalex.org/W2119391823","https://openalex.org/W2131876387","https://openalex.org/W2131975293","https://openalex.org/W2133569115","https://openalex.org/W2141992894","https://openalex.org/W2163961697","https://openalex.org/W2168231600","https://openalex.org/W2183341477","https://openalex.org/W2186615578","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2283208771","https://openalex.org/W2289698129","https://openalex.org/W2309679942","https://openalex.org/W2335814492","https://openalex.org/W2335835108","https://openalex.org/W2336650964","https://openalex.org/W2402144811","https://openalex.org/W2519224033","https://openalex.org/W2521550930","https://openalex.org/W2525778437","https://openalex.org/W2549139847","https://openalex.org/W2572234696","https://openalex.org/W2589642470","https://openalex.org/W2604856537","https://openalex.org/W2605101405","https://openalex.org/W2605643718","https://openalex.org/W2606981059","https://openalex.org/W2609354095","https://openalex.org/W2613904329","https://openalex.org/W2622263826","https://openalex.org/W2952926545","https://openalex.org/W2962725887","https://openalex.org/W2963474950","https://openalex.org/W2964043796","https://openalex.org/W3102385572","https://openalex.org/W6684859321","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2388464034","https://openalex.org/W2140460949","https://openalex.org/W2105580438","https://openalex.org/W2533125852","https://openalex.org/W3172150420","https://openalex.org/W2057435755","https://openalex.org/W2949620858","https://openalex.org/W2018782216","https://openalex.org/W1994111466","https://openalex.org/W3204654320"],"abstract_inverted_index":{"Deep":[0],"learning":[1,15,26,46,57,87,148,173],"workloads":[2],"are":[3,51],"common":[4],"in":[5,125,204],"today's":[6],"production":[7],"clusters":[8],"due":[9],"to":[10,39,55,103,114,150],"the":[11,37,40,130,188],"proliferation":[12],"of":[13,43,65,122,160,206],"deep":[14,25,45,56,86,147,172],"driven":[16],"AI":[17],"services":[18],"(e.g.,":[19],"speech":[20],"recognition,":[21],"machine":[22],"translation).":[23],"A":[24],"training":[27,92,117,185],"job":[28,75,83,91,152,207],"is":[29,36,137],"resource-intensive":[30],"and":[31,59,74,109,139,145,168,179,202,210],"time-consuming.":[32],"Efficient":[33],"resource":[34,72],"scheduling":[35],"key":[38],"maximal":[41],"performance":[42,112],"a":[44,62,81,120,132,162,171],"cluster.":[47],"Existing":[48],"cluster":[49,163,174,197],"schedulers":[50,198],"largely":[52],"not":[53],"tailored":[54],"jobs,":[58],"typically":[60],"specifying":[61],"fixed":[63],"amount":[64],"resources":[66,124,144],"for":[67,85,141,165],"each":[68,126],"job,":[69],"prohibiting":[70],"high":[71],"efficiency":[73],"performance.":[76],"This":[77],"paper":[78],"proposes":[79],"Optimus,":[80],"customized":[82],"scheduler":[84],"clusters,":[88],"which":[89],"minimizes":[90],"time":[93,209],"based":[94],"on":[95,129,158,170],"online":[96,101],"resource-performance":[97],"models.":[98],"Optimus":[99,157,194],"uses":[100],"fitting":[102],"predict":[104],"model":[105],"convergence":[106],"during":[107],"training,":[108],"sets":[110],"up":[111],"models":[113],"accurately":[115],"estimate":[116],"speed":[118],"as":[119],"function":[121],"allocated":[123],"job.":[127],"Based":[128],"models,":[131],"simple":[133],"yet":[134],"effective":[135],"method":[136],"designed":[138],"used":[140],"dynamically":[142],"allocating":[143],"placing":[146],"tasks":[149],"minimize":[151],"completion":[153,208],"time.":[154],"We":[155],"implement":[156],"top":[159],"Kubernetes,":[161],"manager":[164],"container":[166],"orchestration,":[167],"experiment":[169],"with":[175],"7":[176],"CPU":[177],"servers":[178],"6":[180],"GPU":[181],"servers,":[182],"running":[183],"9":[184],"jobs":[186],"using":[187],"MXNet":[189],"framework.":[190],"Results":[191],"show":[192],"that":[193],"outperforms":[195],"representative":[196],"by":[199],"about":[200],"139%":[201],"63%":[203],"terms":[205],"makespan,":[211],"respectively.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":53},{"year":2023,"cited_by_count":59},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":67},{"year":2019,"cited_by_count":40},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2018-05-07T00:00:00"}