{"id":"https://openalex.org/W2755021080","doi":"https://doi.org/10.1109/icccn.2017.8038464","title":"A Comparison of Distributed Machine Learning Platforms","display_name":"A Comparison of Distributed Machine Learning Platforms","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755021080","doi":"https://doi.org/10.1109/icccn.2017.8038464","mag":"2755021080"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2017.8038464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2017.8038464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100441001","display_name":"Kuo Zhang","orcid":"https://orcid.org/0009-0004-2847-3325"},"institutions":[{"id":"https://openalex.org/I103497121","display_name":"Purchase College","ror":"https://ror.org/057trrr89","country_code":"US","type":"education","lineage":["https://openalex.org/I103497121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuo Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUNY","institution_ids":["https://openalex.org/I103497121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081349972","display_name":"Salem Alqahtani","orcid":null},"institutions":[{"id":"https://openalex.org/I103497121","display_name":"Purchase College","ror":"https://ror.org/057trrr89","country_code":"US","type":"education","lineage":["https://openalex.org/I103497121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salem Alqahtani","raw_affiliation_strings":["Department of Computer Science and Engineering, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUNY","institution_ids":["https://openalex.org/I103497121"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101800282","display_name":"Murat Demirba\u015f","orcid":"https://orcid.org/0000-0001-7952-9035"},"institutions":[{"id":"https://openalex.org/I103497121","display_name":"Purchase College","ror":"https://ror.org/057trrr89","country_code":"US","type":"education","lineage":["https://openalex.org/I103497121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Demirbas","raw_affiliation_strings":["Department of Computer Science and Engineering, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUNY","institution_ids":["https://openalex.org/I103497121"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103497121"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"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":0.9995999932289124,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.994700014591217,"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":0.8257637023925781},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.8211772441864014},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7281699180603027},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7058913111686707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6958170533180237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606946587562561},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5743266940116882},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5350813269615173},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5287582278251648},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.46242135763168335},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34610694646835327},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3303593695163727},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23154959082603455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257637023925781},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.8211772441864014},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7281699180603027},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7058913111686707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6958170533180237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606946587562561},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5743266940116882},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5350813269615173},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5287582278251648},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.46242135763168335},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34610694646835327},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3303593695163727},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23154959082603455},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2017.8038464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2017.8038464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1487337216","https://openalex.org/W1746258828","https://openalex.org/W2045271686","https://openalex.org/W2060393849","https://openalex.org/W2082171780","https://openalex.org/W2083842231","https://openalex.org/W2100830825","https://openalex.org/W2103018059","https://openalex.org/W2131975293","https://openalex.org/W2132737349","https://openalex.org/W2168231600","https://openalex.org/W2173213060","https://openalex.org/W2186615578","https://openalex.org/W2189465200","https://openalex.org/W2271840356","https://openalex.org/W2579247884","https://openalex.org/W2912782323","https://openalex.org/W4239429564","https://openalex.org/W6629092050","https://openalex.org/W6637806892","https://openalex.org/W6665801690","https://openalex.org/W6679393576","https://openalex.org/W6679815717","https://openalex.org/W6684859321","https://openalex.org/W6687322159","https://openalex.org/W6999506256"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2,11,30,47,70,111],"big":[3,6],"data":[4],"and":[5,45,64,66,81,85,95,122],"computing":[7],"boosted":[8],"the":[9,27,37,42,83,109,128],"adoption":[10],"machine":[12,20,33,117],"learning":[13,21,34,118],"across":[14],"many":[15],"application":[16],"domains.":[17],"Several":[18],"distributed":[19,32,78],"platforms":[22],"emerged":[23],"recently.":[24],"We":[25,50,75,91],"investigate":[26],"architectural":[28],"design":[29,38],"these":[31,89,98,112],"platforms,":[35],"as":[36,53,59,68],"decisions":[39],"inevitably":[40],"affect":[41],"performance,":[43],"scalability,":[44],"availability":[46],"those":[48],"platforms.":[49,99],"study":[51],"Spark":[52],"a":[54,60,77,104],"representative":[55],"dataflow":[56,73],"system,":[57,63],"PMLS":[58],"parameter-":[61],"server":[62],"TensorFlow":[65],"MXNet":[67],"examples":[69],"more":[71],"advanced":[72],"systems.":[74],"take":[76],"systems":[79,114],"perspective,":[80],"analyze":[82],"communication":[84],"control":[86],"bottlenecks":[87],"for":[88],"approaches.":[90],"also":[92],"consider":[93],"fault-tolerance":[94],"ease-of-development":[96],"in":[97],"In":[100],"order":[101],"to":[102],"provide":[103],"quantitative":[105],"evaluation,":[106],"we":[107],"evaluate":[108],"performance":[110],"three":[113],"with":[115],"basic":[116],"tasks:":[119],"logistic":[120],"regression,":[121],"an":[123],"image":[124],"classification":[125],"example":[126],"on":[127],"MNIST":[129],"dataset.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
