{"id":"https://openalex.org/W4281384434","doi":"https://doi.org/10.1145/3533028.3533308","title":"Evaluating model serving strategies over streaming data","display_name":"Evaluating model serving strategies over streaming data","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4281384434","doi":"https://doi.org/10.1145/3533028.3533308"},"language":"en","primary_location":{"id":"doi:10.1145/3533028.3533308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533028.3533308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533028.3533308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning","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/10.1145/3533028.3533308","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018614448","display_name":"Sonia Horchidan","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Sonia Horchidan","raw_affiliation_strings":["KTH Royal Institute Of Technology"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute Of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025744557","display_name":"Emmanouil Kritharakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanouil Kritharakis","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068567119","display_name":"Vasiliki Kalavri","orcid":"https://orcid.org/0000-0001-8219-4862"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasiliki Kalavri","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039432313","display_name":"Paris Carbone","orcid":"https://orcid.org/0000-0002-9351-8508"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Paris Carbone","raw_affiliation_strings":["KTH Royal Institute Of Technology"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute Of Technology","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018614448"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.3873,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84006005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8612065315246582},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.7716889381408691},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7583423256874084},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7082974910736084},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5365797281265259},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4831335246562958},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.47082072496414185},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43650710582733154},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.42142254114151},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40349867939949036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32971498370170593},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32455435395240784},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26399505138397217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21613141894340515},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16190466284751892},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13761010766029358},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08802872896194458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8612065315246582},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.7716889381408691},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7583423256874084},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7082974910736084},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5365797281265259},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4831335246562958},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.47082072496414185},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43650710582733154},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.42142254114151},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40349867939949036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32971498370170593},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32455435395240784},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26399505138397217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21613141894340515},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16190466284751892},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13761010766029358},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08802872896194458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533028.3533308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533028.3533308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533028.3533308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3533028.3533308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533028.3533308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533028.3533308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320940","display_name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","ror":"https://ror.org/044wr7g58"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281384434.pdf","grobid_xml":"https://content.openalex.org/works/W4281384434.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2566979091","https://openalex.org/W3095488153"],"related_works":["https://openalex.org/W2886490431","https://openalex.org/W4317418912","https://openalex.org/W4387776140","https://openalex.org/W4389449520","https://openalex.org/W4281746777","https://openalex.org/W2981673118","https://openalex.org/W2622236720","https://openalex.org/W2900633867","https://openalex.org/W2523233245","https://openalex.org/W4206945301"],"abstract_inverted_index":{"We":[0,106],"present":[1],"the":[2,40,118,126],"first":[3],"performance":[4,36],"evaluation":[5,37],"study":[6],"of":[7,42,45,54,73,103,120],"model":[8],"serving":[9,30,56,88],"integration":[10],"tools":[11],"in":[12,117,125],"stream":[13,22,50],"processing":[14,23],"frameworks.":[15],"Using":[16],"Apache":[17],"Flink":[18],"as":[19],"a":[20],"representative":[21],"system,":[24],"we":[25],"evaluate":[26],"alternative":[27],"Deep":[28],"Learning":[29,47],"pipelines":[31,69],"for":[32,68],"image":[33],"classification.":[34],"Our":[35],"considers":[38],"both":[39],"case":[41],"embedded":[43,74],"use":[44,72,102],"Machine":[46],"libraries":[48,75],"within":[49],"tasks":[51],"and":[52,66,110],"that":[53,70],"external":[55,87],"via":[57],"Remote":[58],"Procedure":[59],"Calls.":[60],"The":[61],"results":[62],"indicate":[63],"superior":[64],"throughput":[65],"scalability":[67],"make":[71],"to":[76,99],"serve":[77],"pre-trained":[78],"models.":[79],"Whereas,":[80],"latency":[81,92],"can":[82],"vary":[83],"across":[84],"strategies,":[85],"with":[86],"even":[89],"achieving":[90],"lower":[91],"when":[93],"network":[94],"conditions":[95],"are":[96],"optimal":[97],"due":[98],"better":[100],"specialized":[101],"underlying":[104],"hardware.":[105],"discuss":[107],"our":[108],"findings":[109],"provide":[111],"further":[112],"motivating":[113],"arguments":[114],"towards":[115],"research":[116],"area":[119],"ML-native":[121],"data":[122],"streaming":[123],"engines":[124],"future.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}
