{"id":"https://openalex.org/W4288064558","doi":"https://doi.org/10.1109/tcc.2022.3194128","title":"Elastic Resource Management for Deep Learning Applications in a Container Cluster","display_name":"Elastic Resource Management for Deep Learning Applications in a Container Cluster","publication_year":2022,"publication_date":"2022-07-27","ids":{"openalex":"https://openalex.org/W4288064558","doi":"https://doi.org/10.1109/tcc.2022.3194128"},"language":"en","primary_location":{"id":"doi:10.1109/tcc.2022.3194128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2022.3194128","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"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 Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1994497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013723403","display_name":"Ying Mao","orcid":"https://orcid.org/0000-0002-4484-4892"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Mao","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308014","display_name":"Vaishali Sharma","orcid":"https://orcid.org/0000-0001-8126-0506"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vaishali Sharma","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045059848","display_name":"Wenjia Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjia Zheng","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073321754","display_name":"Long Cheng","orcid":"https://orcid.org/0000-0003-1638-059X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Cheng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102787759","display_name":"Qiang Guan","orcid":"https://orcid.org/0000-0002-3804-8945"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Guan","raw_affiliation_strings":["Department of Computer Science, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413657","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-3734-9137"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["High-Performance-Computing (HPC) Group, Pacific Northwest National Laboratory (PNNL), Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"High-Performance-Computing (HPC) Group, Pacific Northwest National Laboratory (PNNL), Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013723403"],"corresponding_institution_ids":["https://openalex.org/I164389053"],"apc_list":null,"apc_paid":null,"fwci":6.0422,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96438497,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"2204","last_page":"2216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9966999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9908999800682068,"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/cloud-computing","display_name":"Cloud computing","score":0.8169327974319458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577749490737915},{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.7539421916007996},{"id":"https://openalex.org/keywords/restructuring","display_name":"Restructuring","score":0.6250383257865906},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.531064510345459},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5048249363899231},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.500967264175415},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46503394842147827},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.45021986961364746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406059741973877},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1842040717601776},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14760926365852356}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8169327974319458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577749490737915},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.7539421916007996},{"id":"https://openalex.org/C45237549","wikidata":"https://www.wikidata.org/wiki/Q1376796","display_name":"Restructuring","level":2,"score":0.6250383257865906},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.531064510345459},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5048249363899231},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.500967264175415},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46503394842147827},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.45021986961364746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406059741973877},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1842040717601776},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14760926365852356},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcc.2022.3194128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2022.3194128","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"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 Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1994497","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1994497","pdf_url":"https://www.osti.gov/servlets/purl/1994497","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1994497","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1994497","pdf_url":"https://www.osti.gov/servlets/purl/1994497","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4288064558.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2124592697","https://openalex.org/W2184587602","https://openalex.org/W2738749209","https://openalex.org/W2783992985","https://openalex.org/W2794670651","https://openalex.org/W2921118685","https://openalex.org/W2945146780","https://openalex.org/W2953235111","https://openalex.org/W2956461999","https://openalex.org/W2963505890","https://openalex.org/W2990062730","https://openalex.org/W3007154432","https://openalex.org/W3022298203","https://openalex.org/W3022548332","https://openalex.org/W3035160371","https://openalex.org/W3039448353","https://openalex.org/W3093580137","https://openalex.org/W3094326709","https://openalex.org/W3132455321","https://openalex.org/W3209503812","https://openalex.org/W3216116694","https://openalex.org/W4206790491","https://openalex.org/W4214634256","https://openalex.org/W4214822034","https://openalex.org/W4287262342","https://openalex.org/W6686463822","https://openalex.org/W6753770798","https://openalex.org/W6759948036","https://openalex.org/W6765484274","https://openalex.org/W6772750526","https://openalex.org/W6784701502","https://openalex.org/W6791570161","https://openalex.org/W6990655517"],"related_works":["https://openalex.org/W2376397586","https://openalex.org/W2377702023","https://openalex.org/W76424774","https://openalex.org/W2376263261","https://openalex.org/W1974318783","https://openalex.org/W2029119203","https://openalex.org/W1506264906","https://openalex.org/W3127177933","https://openalex.org/W2376259828","https://openalex.org/W2905940832"],"abstract_inverted_index":{"The":[0,132],"increasing":[1],"demand":[2],"for":[3,39,75],"learning":[4],"from":[5],"massive":[6],"datasets":[7],"is":[8,46,92],"restructuring":[9],"our":[10],"economy.":[11],"Effective":[12],"learning,":[13],"however,":[14],"involves":[15],"nontrivial":[16],"computing":[17,30],"resources.":[18,41],"Most":[19],"businesses":[20],"utilize":[21],"commercial":[22],"infrastructure":[23],"providers":[24],"(e.g.,":[25],"AWS)":[26],"to":[27,68,94,107,149,153,164],"host":[28],"their":[29],"clusters":[31],"in":[32,56,81,173],"the":[33,71,96,154,159,169,174],"cloud,":[34],"where":[35],"various":[36,129,177],"jobs":[37,80,102],"compete":[38],"available":[40],"While":[42],"cloud":[43],"resource":[44,112,144],"management":[45],"a":[47,82,89,117],"fruitful":[48],"research":[49],"field":[50],"that":[51,91,135],"has":[52],"made":[53],"many":[54],"advances":[55],"production,":[57],"such":[58],"as":[59],"Kubernetes":[60],"and":[61,105,111,120,124,143,166],"YARN,":[62],"few":[63],"efforts":[64],"have":[65],"been":[66],"invested":[67],"further":[69],"optimize":[70],"system":[72,90],"performance,":[73],"especially":[74],"Deep":[76],"Learning":[77],"(DL)":[78],"training":[79],"container":[83],"cluster.":[84],"This":[85],"work":[86],"introduces":[87],"FlowCon,":[88],"able":[93],"monitor":[95],"individual":[97],"evaluation":[98],"functions":[99],"of":[100,122,176],"DL":[101,130,139,178],"at":[103],"runtime,":[104],"thus":[106],"make":[108],"placement":[109],"decisions":[110],"allocations":[113],"elastically.":[114],"We":[115],"present":[116],"detailed":[118],"design":[119],"implementation":[121],"FlowCon":[123,136,156],"conduct":[125],"intensive":[126],"experiments":[127],"over":[128],"models.":[131],"results":[133],"demonstrate":[134],"significantly":[137],"improves":[138],"job":[140,179],"completion":[141,160],"time":[142,161],"utilization":[145],"efficiency":[146],"when":[147],"compared":[148],"default":[150],"systems.":[151],"According":[152],"results,":[155],"can":[157],"improve":[158],"by":[162,171],"up":[163],"68.8%":[165],"meanwhile,":[167],"reduce":[168],"makespan":[170],"18.0%,":[172],"presence":[175],"workloads.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}