{"id":"https://openalex.org/W3009076569","doi":"https://doi.org/10.1109/tpds.2020.2978480","title":"Evaluation of Stream Processing Frameworks","display_name":"Evaluation of Stream Processing Frameworks","publication_year":2020,"publication_date":"2020-03-05","ids":{"openalex":"https://openalex.org/W3009076569","doi":"https://doi.org/10.1109/tpds.2020.2978480","mag":"3009076569"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2020.2978480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2020.2978480","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","raw_type":"journal-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/A5025523279","display_name":"Giselle van Dongen","orcid":"https://orcid.org/0000-0003-1605-724X"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Giselle van Dongen","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026810106","display_name":"Dirk Van den Poel","orcid":"https://orcid.org/0000-0002-8676-8103"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Dirk Van den Poel","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025523279"],"corresponding_institution_ids":["https://openalex.org/I2801227569"],"apc_list":null,"apc_paid":null,"fwci":16.1609,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.99057254,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"1845","last_page":"1858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994999766349792,"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":0.9994999766349792,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9975000023841858,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9973000288009644,"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":0.8848220109939575},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7376431226730347},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.6768856644630432},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6036749482154846},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5449865460395813},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5237219929695129},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5231146216392517},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4880200922489166},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4778275489807129},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.46455734968185425},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4322485029697418},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4284452199935913},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.19078660011291504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11760050058364868},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11495926976203918},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08651205897331238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848220109939575},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7376431226730347},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.6768856644630432},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6036749482154846},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5449865460395813},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5237219929695129},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5231146216392517},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4880200922489166},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4778275489807129},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.46455734968185425},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4322485029697418},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4284452199935913},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.19078660011291504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11760050058364868},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11495926976203918},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08651205897331238},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpds.2020.2978480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2020.2978480","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:8661077","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-8661077","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1558-2183","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1976821017","https://openalex.org/W1991532004","https://openalex.org/W2020448675","https://openalex.org/W2419660933","https://openalex.org/W2460931878","https://openalex.org/W2486439025","https://openalex.org/W2566979091","https://openalex.org/W2752238980","https://openalex.org/W2763018317","https://openalex.org/W2767178487","https://openalex.org/W2788975424","https://openalex.org/W2798434712","https://openalex.org/W2890004077","https://openalex.org/W2892199102","https://openalex.org/W6718519710","https://openalex.org/W6731596640","https://openalex.org/W6748844693"],"related_works":["https://openalex.org/W2844620057","https://openalex.org/W2564266326","https://openalex.org/W2767178487","https://openalex.org/W2082671441","https://openalex.org/W3168832835","https://openalex.org/W3044060397","https://openalex.org/W2605169415","https://openalex.org/W180351855","https://openalex.org/W2538312128","https://openalex.org/W2904574017"],"abstract_inverted_index":{"The":[0],"increasing":[1],"need":[2],"for":[3,27,33,80,85,145],"real-time":[4],"insights":[5],"in":[6,21],"data":[7,207],"sparked":[8],"the":[9,29,46,59,97,108,117,134,175,186,192,225],"development":[10],"of":[11,76,111,137,177,201,206],"multiple":[12],"stream":[13],"processing":[14],"frameworks.":[15],"Several":[16],"benchmarking":[17],"studies":[18],"were":[19],"conducted":[20],"an":[22],"effort":[23],"to":[24,51,116,163,209],"form":[25],"guidelines":[26],"identifying":[28],"most":[30,143],"appropriate":[31],"framework":[32],"a":[34,81,126,139,158,204],"use":[35,125],"case.":[36],"In":[37,49],"this":[38,42],"article,":[39],"we":[40,56,106,124],"extend":[41],"research":[43],"and":[44,54,64,102,105],"present":[45],"results":[47,131],"gathered.":[48],"addition":[50],"Spark":[52],"Streaming":[53,63,168],"Flink,":[55],"also":[57],"include":[58],"emerging":[60],"frameworks":[61,157],"Structured":[62,167],"Kafka":[65,128],"Streams.":[66],"We":[67,95],"define":[68],"four":[69],"workloads":[70],"with":[71,198],"custom":[72],"parameter":[73],"tuning.":[74],"Each":[75],"these":[77],"is":[78],"optimized":[79],"certain":[82],"metric":[83],"or":[84],"measuring":[86],"performance":[87,109,194],"under":[88],"specific":[89],"scenarios":[90],"such":[91],"as":[92],"bursty":[93],"workloads.":[94],"analyze":[96],"relationship":[98],"between":[99],"latency,":[100],"throughput,":[101],"resource":[103],"consumption":[104],"measure":[107],"impact":[110],"adding":[112],"different":[113],"common":[114],"operations":[115],"pipeline.":[118],"To":[119],"ensure":[120],"correct":[121],"latency":[122,135,160,182],"measurements,":[123],"single":[127],"broker.":[129],"Our":[130],"show":[132],"that":[133],"disadvantages":[136],"using":[138],"micro-batch":[140,165,216],"system":[141],"are":[142],"apparent":[144],"stateless":[146],"operations.":[147],"With":[148],"more":[149],"complex":[150],"pipelines,":[151],"customized":[152],"implementations":[153],"can":[154,169],"give":[155],"event-driven":[156,222],"large":[159],"advantage.":[161],"Due":[162],"its":[164],"architecture,":[166],"handle":[170],"very":[171],"high":[172,178],"throughput":[173],"at":[174],"cost":[176],"latency.":[179],"Under":[180],"tight":[181],"SLAs,":[183],"Flink":[184,190],"sustains":[185],"highest":[187],"throughput.":[188],"Additionally,":[189],"shows":[191],"least":[193],"degradation":[195],"when":[196],"confronted":[197],"periodic":[199],"bursts":[200],"data.":[202],"When":[203],"burst":[205],"needs":[208],"be":[210],"processed":[211],"right":[212],"after":[213],"startup,":[214],"however,":[215],"systems":[217,223],"catch":[218],"up":[219],"faster":[220],"while":[221],"output":[224],"first":[226],"events":[227],"sooner.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}