{"id":"https://openalex.org/W2168635330","doi":"https://doi.org/10.1145/1039111.1039113","title":"Summary-based routing for content-based event distribution networks","display_name":"Summary-based routing for content-based event distribution networks","publication_year":2004,"publication_date":"2004-10-15","ids":{"openalex":"https://openalex.org/W2168635330","doi":"https://doi.org/10.1145/1039111.1039113","mag":"2168635330"},"language":"en","primary_location":{"id":"doi:10.1145/1039111.1039113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1039111.1039113","pdf_url":null,"source":{"id":"https://openalex.org/S66039016","display_name":"ACM SIGCOMM Computer Communication Review","issn_l":"0146-4833","issn":["0146-4833","1943-5819"],"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":"ACM SIGCOMM Computer Communication Review","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/A5100384240","display_name":"Yi\u2010Min Wang","orcid":"https://orcid.org/0009-0008-7292-0670"},"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":"Yi-Min Wang","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032760128","display_name":"Lili Qiu","orcid":"https://orcid.org/0000-0002-1590-9749"},"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":"Lili Qiu","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038032654","display_name":"Chad Verbowski","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":"Chad Verbowski","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021300666","display_name":"Dimitris Achlioptas","orcid":"https://orcid.org/0000-0003-2349-822X"},"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":"Dimitris Achlioptas","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"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":"Gautam Das","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113585301","display_name":"Paul A. Larson","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":"Paul Larson","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":5.0441,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95657517,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"5","first_page":"59","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.867695689201355},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6605571508407593},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5944464206695557},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5544160604476929},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5538491010665894},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.54334956407547},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5157642364501953},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4926512837409973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46768075227737427},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4640834331512451},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4470868408679962},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.43447911739349365},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43373459577560425},{"id":"https://openalex.org/keywords/policy-based-routing","display_name":"Policy-based routing","score":0.43279531598091125},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.3976464569568634},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19340971112251282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1606578528881073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.155302494764328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.867695689201355},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6605571508407593},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5944464206695557},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5544160604476929},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5538491010665894},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.54334956407547},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5157642364501953},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4926512837409973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46768075227737427},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4640834331512451},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4470868408679962},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.43447911739349365},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43373459577560425},{"id":"https://openalex.org/C196423136","wikidata":"https://www.wikidata.org/wiki/Q7209671","display_name":"Policy-based routing","level":5,"score":0.43279531598091125},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.3976464569568634},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19340971112251282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1606578528881073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.155302494764328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1039111.1039113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1039111.1039113","pdf_url":null,"source":{"id":"https://openalex.org/S66039016","display_name":"ACM SIGCOMM Computer Communication Review","issn_l":"0146-4833","issn":["0146-4833","1943-5819"],"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":"ACM SIGCOMM Computer Communication Review","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.6805","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.6805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ranger.uta.edu/~gdas/websitepages/preprints-papers/ccr2004-edn.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W58945507","https://openalex.org/W1033233548","https://openalex.org/W1539894322","https://openalex.org/W1546420109","https://openalex.org/W1564988474","https://openalex.org/W1584734953","https://openalex.org/W1595831747","https://openalex.org/W1798312442","https://openalex.org/W1824711855","https://openalex.org/W1834988640","https://openalex.org/W1848192416","https://openalex.org/W1858041807","https://openalex.org/W1858718744","https://openalex.org/W1896104075","https://openalex.org/W1920593946","https://openalex.org/W1971405342","https://openalex.org/W1971652947","https://openalex.org/W1971784203","https://openalex.org/W1973190970","https://openalex.org/W2053060361","https://openalex.org/W2063319420","https://openalex.org/W2067580069","https://openalex.org/W2077110411","https://openalex.org/W2090236751","https://openalex.org/W2097891596","https://openalex.org/W2099020753","https://openalex.org/W2099374284","https://openalex.org/W2110158792","https://openalex.org/W2112053513","https://openalex.org/W2118269922","https://openalex.org/W2118953734","https://openalex.org/W2123751478","https://openalex.org/W2123845384","https://openalex.org/W2126540423","https://openalex.org/W2126632912","https://openalex.org/W2131185826","https://openalex.org/W2132064182","https://openalex.org/W2133612856","https://openalex.org/W2134549628","https://openalex.org/W2137899328","https://openalex.org/W2148251644","https://openalex.org/W2148647281","https://openalex.org/W2149044041","https://openalex.org/W2151135734","https://openalex.org/W2164921419","https://openalex.org/W2205503851","https://openalex.org/W2243162319","https://openalex.org/W2319660501","https://openalex.org/W2901608006","https://openalex.org/W3125628929","https://openalex.org/W4239907410","https://openalex.org/W6770641979"],"related_works":["https://openalex.org/W1997091564","https://openalex.org/W2220567392","https://openalex.org/W146128134","https://openalex.org/W2607223747","https://openalex.org/W4316021914","https://openalex.org/W2117123509","https://openalex.org/W2352609928","https://openalex.org/W2102655743","https://openalex.org/W2090180826","https://openalex.org/W2915872201"],"abstract_inverted_index":{"Providing":[0],"scalable":[1],"distributed":[2],"Web-based":[3],"eventing":[4],"services":[5,99],"has":[6],"been":[7],"an":[8,17,90],"important":[9],"research":[10],"topic.":[11],"It":[12],"is":[13],"desirable":[14],"to":[15,23,32,52,68,79],"have":[16,83],"effective":[18],"mechanism":[19,44],"for":[20,27],"the":[21,47,96,103,114,118],"servers":[22],"summarize":[24],"their":[25],"filters":[26],"in-network":[28],"preprocessing":[29],"in":[30],"order":[31],"optimize":[33,80],"system":[34,63],"performance.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"a":[41,54],"summary-based":[42,85],"routing":[43,57,86],"and":[45,59,73,109,112],"introduce":[46],"notion":[48],"of":[49,89,117],"imprecise":[50],"summaries":[51],"provide":[53],"trade-off":[55],"between":[56],"overhead":[58],"event":[60,71],"traffic.":[61],"Our":[62],"uses":[64],"similarity-based":[65],"filter":[66],"clustering":[67],"reduce":[69],"overall":[70],"traffic":[72],"performs":[74],"self-tuning":[75],"summary":[76],"precision":[77],"selection":[78],"throughput.":[81],"We":[82],"implemented":[84],"on":[87],"top":[88],"XML-based":[91],"infrastructure":[92],"that":[93],"closely":[94],"follows":[95],"proposed":[97,119],"Web":[98],"standards.":[100],"Measurements":[101],"from":[102],"actual":[104],"implementation":[105],"validate":[106],"our":[107],"analytical":[108],"simulation":[110],"results,":[111],"demonstrate":[113],"practical":[115],"benefits":[116],"techniques.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}