{"id":"https://openalex.org/W2102654168","doi":"https://doi.org/10.14778/1920841.1920873","title":"High-performance dynamic pattern matching over disordered streams","display_name":"High-performance dynamic pattern matching over disordered streams","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2102654168","doi":"https://doi.org/10.14778/1920841.1920873","mag":"2102654168"},"language":"en","primary_location":{"id":"doi:10.14778/1920841.1920873","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920873","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5067654293","display_name":"Badrish Chandramouli","orcid":"https://orcid.org/0000-0002-8468-4037"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Badrish Chandramouli","raw_affiliation_strings":["Microsoft Research, Redmond, Washington","[Microsoft Research Redmond, Washington]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, Washington","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research Redmond, Washington]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111492493","display_name":"Jonathan Goldstein","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Goldstein","raw_affiliation_strings":["Microsoft Research, Redmond, Washington","[Microsoft Research Redmond, Washington]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, Washington","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research Redmond, Washington]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014301644","display_name":"David Maier","orcid":"https://orcid.org/0000-0003-4790-5619"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Maier","raw_affiliation_strings":["Portland State University, Portland, Oregon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, Oregon","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3385,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96792358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"1-2","first_page":"220","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998000264167786,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9991000294685364,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.85404372215271},{"id":"https://openalex.org/keywords/regular-expression","display_name":"Regular expression","score":0.6632236242294312},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5980595946311951},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5613458156585693},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5297449827194214},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5240371823310852},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.43721282482147217},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4147312641143799},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41115012764930725},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39280757308006287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3003448247909546},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21887949109077454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12620890140533447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85404372215271},{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.6632236242294312},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5980595946311951},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5613458156585693},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5297449827194214},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5240371823310852},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.43721282482147217},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4147312641143799},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41115012764930725},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39280757308006287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3003448247909546},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21887949109077454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12620890140533447},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/1920841.1920873","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920873","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1579798859","https://openalex.org/W1595332345","https://openalex.org/W1646696449","https://openalex.org/W1840817124","https://openalex.org/W1996130971","https://openalex.org/W2001474264","https://openalex.org/W2002089154","https://openalex.org/W2023977759","https://openalex.org/W2030102079","https://openalex.org/W2052464302","https://openalex.org/W2060204748","https://openalex.org/W2096102629","https://openalex.org/W2103701698","https://openalex.org/W2115503987","https://openalex.org/W2117734592","https://openalex.org/W2121904574","https://openalex.org/W2135216003","https://openalex.org/W2135611729","https://openalex.org/W2137901744","https://openalex.org/W2143792095","https://openalex.org/W2153836901","https://openalex.org/W2156157921","https://openalex.org/W2156212081","https://openalex.org/W2165506510","https://openalex.org/W2166604013","https://openalex.org/W2167274498","https://openalex.org/W2170691805","https://openalex.org/W2171828861"],"related_works":["https://openalex.org/W2106570241","https://openalex.org/W2107586730","https://openalex.org/W3046869667","https://openalex.org/W4361801939","https://openalex.org/W3207785250","https://openalex.org/W2958623481","https://openalex.org/W105155515","https://openalex.org/W2991818765","https://openalex.org/W2096102629","https://openalex.org/W2930137567"],"abstract_inverted_index":{"Current":[0],"pattern-detection":[1,125],"proposals":[2],"for":[3,34,127],"streaming":[4,85],"data":[5],"recognize":[6],"the":[7,32,58,75,114],"need":[8],"to":[9,104,172,183],"move":[10],"beyond":[11],"a":[12,61,67,84,88,99,134],"simple":[13],"regular-expression":[14],"model":[15],"over":[16,57,119],"strictly":[17],"ordered":[18,35],"input.":[19],"We":[20,121],"continue":[21],"in":[22,28,51],"this":[23],"direction,":[24],"relaxing":[25],"restrictions":[26],"present":[27],"some":[29],"models,":[30],"removing":[31],"requirement":[33],"input,":[36,148],"and":[37,142,153,193,203],"permitting":[38],"stream":[39,149],"revisions":[40],"(modification":[41],"of":[42,49,60,66,87,146,166],"prior":[43],"events).":[44],"Further,":[45],"recognizing":[46],"that":[47,132,161],"patterns":[48,180],"interest":[50],"modern":[52],"applications":[53],"may":[54],"change":[55,118],"frequently":[56],"lifetime":[59],"query,":[62],"we":[63,162],"support":[64,110],"updating":[65],"pattern":[68,79,115],"specification":[69],"without":[70],"blocking":[71],"input":[72],"or":[73],"restarting":[74],"operator.":[76],"Our":[77,178],"new":[78,130],"operator":[80,191],"(called":[81],"AFA)":[82],"is":[83,102],"adaptation":[86],"non-deterministic":[89],"finite":[90],"automaton":[91],"(NFA)":[92],"where":[93,113],"additional":[94],"schema-based":[95],"user-defined":[96],"information,":[97],"called":[98],"register":[100],",":[101],"accessible":[103],"NFA":[105],"transitions":[106],"during":[107],"execution.":[108],"AFAs":[109],"dynamic":[111,151,179],"patterns,":[112,152],"itself":[116],"can":[117],"time.":[120],"propose":[122],"clean":[123],"order-agnostic":[124],"semantics":[126],"AFAs,":[128],"with":[129],"algorithms":[131],"allow":[133],"very":[135,198],"efficient":[136],"implementation,":[137],"while":[138],"retaining":[139],"significant":[140],"expressiveness":[141],"supporting":[143],"native":[144],"handling":[145],"out-of-order":[147],"revisions,":[150],"several":[154],"optimizations.":[155],"Experiments":[156],"on":[157],"Microsoft":[158],"StreamInsight":[159],"show":[160],"achieve":[163],"event":[164],"rates":[165],"more":[167],"than":[168,175,187],"200K":[169],"events/sec":[170],"(up":[171],"5x":[173],"better":[174,185],"simpler":[176],"schemes).":[177],"give":[181],"up":[182],"orders-of-magnitude":[184],"throughput":[186],"solutions":[188],"such":[189],"as":[190],"restart,":[192],"our":[194],"other":[195],"optimizations":[196],"are":[197],"effective,":[199],"incurring":[200],"low":[201],"memory":[202],"latency.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}