{"id":"https://openalex.org/W2584438023","doi":"https://doi.org/10.1109/bigdata.2016.7840876","title":"An FPGA-based low-latency network processing for spark streaming","display_name":"An FPGA-based low-latency network processing for spark streaming","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584438023","doi":"https://doi.org/10.1109/bigdata.2016.7840876","mag":"2584438023"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5062260907","display_name":"Kohei Nakamura","orcid":"https://orcid.org/0000-0002-5162-7132"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kohei Nakamura","raw_affiliation_strings":["Dept. of ICS, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of ICS, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101000087","display_name":"Ami Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ami Hayashi","raw_affiliation_strings":["Dept. of ICS, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of ICS, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041549339","display_name":"Hiroki Matsutani","orcid":"https://orcid.org/0000-0001-9578-3842"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Matsutani","raw_affiliation_strings":["Dept. of ICS, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of ICS, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062260907"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":1.2854,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87829872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2410","last_page":"2415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9965999722480774,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7547464370727539},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7151670455932617},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6469687819480896},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5678586959838867},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.5564372539520264},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.44859445095062256},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.316669225692749},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14568418264389038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547464370727539},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7151670455932617},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6469687819480896},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5678586959838867},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.5564372539520264},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.44859445095062256},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.316669225692749},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14568418264389038},{"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/bigdata.2016.7840876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1635892993","https://openalex.org/W1976821017","https://openalex.org/W1989180355","https://openalex.org/W2010066695","https://openalex.org/W2046076654","https://openalex.org/W2072590985","https://openalex.org/W2081699441","https://openalex.org/W2117987151","https://openalex.org/W2131975293","https://openalex.org/W2189465200","https://openalex.org/W2342506706","https://openalex.org/W2565470332","https://openalex.org/W6679815717","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2002703587","https://openalex.org/W3217667592","https://openalex.org/W2909132900","https://openalex.org/W2226826524","https://openalex.org/W1215251505","https://openalex.org/W2037257558","https://openalex.org/W3015794818","https://openalex.org/W2102773950","https://openalex.org/W2964915257","https://openalex.org/W2901220805"],"abstract_inverted_index":{"Low-latency":[0],"stream":[1,22,32],"data":[2,10,23,51,60,75,117,130,236],"processing":[3,33,41,101,171,176],"is":[4,53,103,115,132,199,209,218],"a":[5,57,63,68,96,104,121,194],"key":[6],"enabler":[7],"for":[8,56,91,107,134],"on-line":[9],"analysis":[11,52,76,131,147,197,237],"applications,":[12],"such":[13,81],"as":[14,82],"detecting":[15,108],"anomaly":[16,109],"conditions":[17,110],"and":[18,28,39,85,111,128,173,182,213],"change":[19,112],"points":[20],"from":[21,26],"continuously":[24],"generated":[25],"sensors":[27],"networking":[29],"services.":[30],"Existing":[31],"frameworks":[34],"are":[35,118],"classified":[36],"into":[37],"micro-batch":[38,48,100,234],"one-at-a-time":[40,145,195,243],"methodology.":[42],"Apache":[43],"Spark":[44,162,187,226],"Streaming":[45,163,188],"employs":[46],"the":[47,92,99,135,170,175,205,214,224,232],"methodology,":[49],"where":[50,193],"repeatedly":[54],"performed":[55,133],"series":[58],"of":[59,74,98],"arrived":[61],"during":[62],"short":[64],"time":[65],"period,":[66],"called":[67],"micro":[69,93,122,136],"batch.":[70,137],"A":[71],"rich":[72],"set":[73],"libraries":[77],"provided":[78],"by":[79,211,220],"Spark,":[80],"machine":[83],"learning":[84],"graph":[86],"processing,":[87],"can":[88,230],"be":[89],"applied":[90],"batches.":[94],"However,":[95],"drawback":[97],"methodology":[102,146,196,235,244],"high":[105],"latency":[106,172,217,242],"points.":[113],"This":[114],"because":[116],"accumulated":[119],"in":[120,159,165],"batch":[123],"(e.g.,":[124],"1":[125],"sec":[126],"length)":[127],"then":[129],"In":[138],"this":[139],"paper,":[140],"we":[141],"propose":[142],"to":[143,167,223],"offload":[144],"functions":[148],"on":[149,186],"an":[150],"FPGA-based":[151],"10Gbit":[152],"Ethernet":[153],"network":[154],"interface":[155],"card":[156],"(FPGA":[157],"NIC)":[158],"cooperation":[160],"with":[161,189,239],"framework,":[164],"order":[166],"significantly":[168],"reduce":[169],"improve":[174],"throughput.":[177],"We":[178],"implemented":[179],"word":[180,206],"count":[181,207],"change-point":[183,215],"detection":[184,216],"applications":[185],"our":[190],"FPGA":[191],"NIC,":[192],"logic":[198],"implemented.":[200],"Experiment":[201],"results":[202],"demonstrates":[203],"that":[204],"throughput":[208],"improved":[210],"22x":[212],"reduced":[219],"94.12%":[221],"compared":[222],"original":[225],"Streaming.":[227],"Our":[228],"approach":[229],"complement":[231],"existing":[233],"framework":[238],"ultra":[240],"low":[241],"logic.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
