{"id":"https://openalex.org/W2086243250","doi":"https://doi.org/10.1145/1266894.1266940","title":"Scalable event matching for overlapping subscriptions in pub/sub systems","display_name":"Scalable event matching for overlapping subscriptions in pub/sub systems","publication_year":2007,"publication_date":"2007-06-20","ids":{"openalex":"https://openalex.org/W2086243250","doi":"https://doi.org/10.1145/1266894.1266940","mag":"2086243250"},"language":"en","primary_location":{"id":"doi:10.1145/1266894.1266940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1266894.1266940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 inaugural international conference on Distributed event-based systems","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/A5100412044","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-3143-1976"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY","IBM T.J. Watson Research Center, Hawthorne, NY"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072154708","display_name":"Srinivasan Parthasarthy","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Parthasarthy","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY","IBM T.J. Watson Research Center, Hawthorne, NY"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110500429","display_name":"Anand Ranganathan","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Ranganathan","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY","IBM T.J. Watson Research Center, Hawthorne, NY"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101611722","display_name":"Hao Yang","orcid":"https://orcid.org/0009-0006-6832-525X"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["IBM T. J. Watson Research Center, Hawthorne, NY","IBM T.J. Watson Research Center, Hawthorne, NY"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100412044"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":1.3472,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83061748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9997000098228455,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9918000102043152,"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":0.8747040033340454},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7593202590942383},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6847022771835327},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.6364080905914307},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5823143124580383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5168845653533936},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.5038363337516785},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5038222670555115},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.4976980984210968},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4528142809867859},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.391061395406723},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36219272017478943},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.339898020029068},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1903877556324005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11524143815040588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8747040033340454},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7593202590942383},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6847022771835327},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.6364080905914307},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5823143124580383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5168845653533936},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.5038363337516785},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5038222670555115},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.4976980984210968},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4528142809867859},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.391061395406723},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36219272017478943},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.339898020029068},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1903877556324005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11524143815040588},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1266894.1266940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1266894.1266940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 inaugural international conference on Distributed event-based systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.126.6339","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.6339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucla.edu/~hyang/paper/DEBS07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.134.3033","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://choices.cs.uiuc.edu/~ranganat/Pubs/DEBS07-no9.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1492139710","https://openalex.org/W1555563750","https://openalex.org/W1573140916","https://openalex.org/W1608148813","https://openalex.org/W1726521406","https://openalex.org/W1749554492","https://openalex.org/W1969937393","https://openalex.org/W1971801736","https://openalex.org/W2038176938","https://openalex.org/W2067580069","https://openalex.org/W2079806729","https://openalex.org/W2099273284","https://openalex.org/W2110495371","https://openalex.org/W2129074680","https://openalex.org/W2131185826","https://openalex.org/W2132461362","https://openalex.org/W2135499008","https://openalex.org/W2160091496","https://openalex.org/W2160967997","https://openalex.org/W2171322305","https://openalex.org/W3146347964","https://openalex.org/W3158104671","https://openalex.org/W4232534713","https://openalex.org/W6912992434"],"related_works":["https://openalex.org/W3145288231","https://openalex.org/W2371263218","https://openalex.org/W4398785990","https://openalex.org/W2092552144","https://openalex.org/W2354196777","https://openalex.org/W2257399947","https://openalex.org/W2965473297","https://openalex.org/W2386746909","https://openalex.org/W2108265183","https://openalex.org/W2387316851"],"abstract_inverted_index":{"Content-based":[0],"publish/subscribe":[1,41,81],"systems":[2,17],"allow":[3,19],"matching":[4,56,88,170],"the":[5,12,49,87,101,104,108,116,136,154,164,169,184],"content":[6],"of":[7,23,51,59,94,139],"events":[8],"with":[9,48],"predicates":[10],"in":[11,79,103,141,157],"subscriptions.":[13,95],"However,":[14],"most":[15],"existing":[16],"only":[18],"a":[20,40,76,91,147,179],"limited":[21],"set":[22],"operators,":[24],"such":[25,60],"as":[26,144,146,176],"comparison":[27],"on":[28,65,71],"primitive":[29],"data":[30,67],"types":[31],"(string,":[32],"integer,":[33],"etc).":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"consider":[39],"system":[42,155],"that":[43,123,150,163,182],"supports":[44],"more":[45],"flexible":[46],"events/subscriptions":[47],"use":[50],"advanced,":[52],"yet":[53],"potentially":[54],"expensive,":[55],"operators.":[57],"Examples":[58],"operators":[61,70,140],"are":[62],"pattern":[63],"recognizers":[64],"multimedia":[66],"and":[68,106,121],"spatial":[69],"location":[72],"data.":[73],"We":[74,114,127],"study":[75],"critical":[77],"problem":[78,120],"these":[80],"systems,":[82],"namely":[83],"how":[84],"to":[85,174,178],"optimize":[86],"process":[89],"for":[90],"large":[92],"number":[93,138],"This":[96],"is":[97,125,135],"achieved":[98],"by":[99,172],"exploiting":[100],"overlap":[102],"subscriptions":[105,185],"sharing":[107],"operator":[109],"evaluation":[110,119],"results":[111,161],"whenever":[112],"possible.":[113],"formulate":[115],"optimal":[117],"subscription":[118],"show":[122,162],"it":[124],"NP-Hard.":[126],"propose":[128],"an":[129],"efficient":[130],"d-approximation":[131],"algorithm,":[132],"where":[133],"d":[134],"maximum":[137],"one":[142],"subscription,":[143],"well":[145],"heuristic":[148],"algorithm":[149],"can":[151,167],"further":[152],"improve":[153],"performance":[156],"practice.":[158],"Our":[159],"experiment":[160],"proposed":[165],"algorithms":[166],"reduce":[168],"cost":[171],"up":[173],"80%,":[175],"compared":[177],"naive":[180],"strategy":[181],"evaluates":[183],"independently.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
