{"id":"https://openalex.org/W3035556764","doi":"https://doi.org/10.1145/3394171.3414535","title":"MLModelCI: An Automatic Cloud Platform for Efficient MLaaS","display_name":"MLModelCI: An Automatic Cloud Platform for Efficient MLaaS","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3035556764","doi":"https://doi.org/10.1145/3394171.3414535","mag":"3035556764"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3414535","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.05096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019572221","display_name":"Huaizheng Zhang","orcid":"https://orcid.org/0000-0002-0153-6400"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huaizheng Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904428","display_name":"Yuanming Li","orcid":"https://orcid.org/0000-0002-5210-8705"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuanming Li","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001543999","display_name":"Yizheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yizheng Huang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041572550","display_name":"Yonggang Wen","orcid":"https://orcid.org/0000-0002-2751-5114"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yonggang Wen","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019182457","display_name":"Jianxiong Yin","orcid":"https://orcid.org/0000-0003-4686-2768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxiong Yin","raw_affiliation_strings":["NVIDIA AI Tech Center, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA AI Tech Center, Singapore, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111470708","display_name":"Kyle Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Guan","raw_affiliation_strings":["Nokia Bell Labs, Holmdel, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Holmdel, NJ, USA","institution_ids":["https://openalex.org/I72090969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6249,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87234243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4453","last_page":"4456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7867756485939026},{"id":"https://openalex.org/keywords/devops","display_name":"DevOps","score":0.7835014462471008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7822415232658386},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6861780881881714},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.4536128342151642},{"id":"https://openalex.org/keywords/mit-license","display_name":"MIT License","score":0.4259698987007141},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.3509564697742462},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3272220194339752},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3250088095664978}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7867756485939026},{"id":"https://openalex.org/C9903902","wikidata":"https://www.wikidata.org/wiki/Q3025536","display_name":"DevOps","level":3,"score":0.7835014462471008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822415232658386},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6861780881881714},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4536128342151642},{"id":"https://openalex.org/C174183944","wikidata":"https://www.wikidata.org/wiki/Q334661","display_name":"MIT License","level":3,"score":0.4259698987007141},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.3509564697742462},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3272220194339752},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3250088095664978}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3394171.3414535","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.05096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.05096","pdf_url":"https://arxiv.org/pdf/2006.05096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/152994","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/152994","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.05096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.05096","pdf_url":"https://arxiv.org/pdf/2006.05096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2296335794","https://openalex.org/W2926101387","https://openalex.org/W2963150697","https://openalex.org/W2971890617","https://openalex.org/W3006361831"],"related_works":["https://openalex.org/W2036021480","https://openalex.org/W2546377002","https://openalex.org/W22571951","https://openalex.org/W2046541848","https://openalex.org/W4384009753","https://openalex.org/W2791776396","https://openalex.org/W4286531993","https://openalex.org/W2964820744","https://openalex.org/W4247858078","https://openalex.org/W2378944243"],"abstract_inverted_index":{"MLModelCI":[0,44,112],"provides":[1],"multimedia":[2],"researchers":[3],"and":[4,24,30,34,66,75,91,142,145,151,180,186],"developers":[5,148],"with":[6,156,173],"a":[7,47,117],"one-stop":[8],"platform":[9,162],"for":[10,63,85,101],"efficient":[11],"machine":[12],"learning":[13],"(ML)":[14],"services.":[15],"The":[16,54,77],"system":[17,97,134],"leverages":[18],"DevOps":[19],"techniques":[20],"to":[21,49,60,105],"optimize,":[22],"test,":[23],"manage":[25],"models.":[26,53],"It":[27],"also":[28],"containerizes":[29],"deploys":[31],"these":[32],"optimized":[33,61],"validated":[35],"models":[36,55,100],"as":[37,46,83,163],"cloud":[38,106],"services":[39],"(MLaaS).":[40],"In":[41],"its":[42],"essence,":[43],"serves":[45],"housekeeper":[48],"help":[50],"users":[51],"publish":[52],"are":[56],"first":[57],"automatically":[58],"converted":[59],"formats":[62],"production":[64],"purpose":[65],"then":[67],"profiled":[68],"under":[69,169],"different":[70],"settings":[71],"(e.g.,":[72],"batch":[73],"size":[74],"hardware).":[76],"profiling":[78],"information":[79],"can":[80],"be":[81],"used":[82],"guidelines":[84],"balancing":[86],"the":[87,96,99,114,136,161,174],"trade-off":[88],"between":[89,138],"performance":[90],"cost":[92],"of":[93,103,111,116],"MLaaS.":[94],"Finally,":[95],"dockerizes":[98],"ease":[102],"deployment":[104],"environments.":[107],"A":[108],"key":[109],"feature":[110],"is":[113],"implementation":[115],"controller,":[118],"which":[119,123],"allows":[120],"elastic":[121],"evaluation":[122],"only":[124],"utilizes":[125],"idle":[126],"workers":[127],"while":[128],"maintaining":[129],"online":[130],"service":[131,157],"quality.":[132],"Our":[133],"bridges":[135],"gap":[137],"current":[139],"ML":[140,184],"training":[141],"serving":[143],"systems":[144],"thus":[146],"free":[147],"from":[149],"manual":[150],"tedious":[152],"work":[153],"often":[154],"associated":[155],"deployment.":[158],"We":[159],"release":[160],"an":[164],"open-source":[165],"project":[166],"on":[167],"GitHub":[168],"Apache":[170],"2.0":[171],"license,":[172],"aim":[175],"that":[176],"it":[177],"will":[178],"facilitate":[179],"streamline":[181],"more":[182],"large-scale":[183],"applications":[185],"research":[187],"projects.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}