{"id":"https://openalex.org/W2288972751","doi":null,"title":"Adaptive Join Operators for Result Rate Optimization on Streaming Inputs","display_name":"Adaptive Join Operators for Result Rate Optimization on Streaming Inputs","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2288972751","mag":"2288972751"},"language":"en","primary_location":{"id":"mag:2288972751","doi":null,"is_oa":false,"landing_page_url":"http://www.ijettjournal.org/volume-1/issue-1/ijettjournal-v1i1p16.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5085289638","display_name":"M. Mary Rexcy Asha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Mary Rexcy Asha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108345338","display_name":"M. Geetha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Geetha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29189429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9990000128746033,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9990000128746033,"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/T11106","display_name":"Data Management and Algorithms","score":0.0003000000142492354,"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/T11269","display_name":"Algorithms and Data Compression","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-streams","display_name":"data streams","score":0.6949999928474426},{"id":"https://openalex.org/keywords/pipelining","display_name":"pipelining","score":0.7049999833106995},{"id":"https://openalex.org/keywords/autonomous-data-sources","display_name":"autonomous data sources","score":0.5910000205039978},{"id":"https://openalex.org/keywords/heterogeneous-networks","display_name":"heterogeneous networks","score":0.5830000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581552505493164},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8341227173805237},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.7485414743423462},{"id":"https://openalex.org/C203570394","wikidata":"https://www.wikidata.org/wiki/Q4060688","display_name":"Sort-merge join","level":3,"score":0.7227132320404053},{"id":"https://openalex.org/C188805328","wikidata":"https://www.wikidata.org/wiki/Q4060691","display_name":"Hash join","level":3,"score":0.6764166355133057},{"id":"https://openalex.org/C1306188","wikidata":"https://www.wikidata.org/wiki/Q4060687","display_name":"Nested loop join","level":2,"score":0.6136212348937988},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4267832636833191},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4029359817504883},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.30756455659866333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28198951482772827},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.1933436095714569},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1615091860294342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08195099234580994},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2288972751","doi":null,"is_oa":false,"landing_page_url":"http://www.ijettjournal.org/volume-1/issue-1/ijettjournal-v1i1p16.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2047756776","https://openalex.org/W2097726431","https://openalex.org/W2151826520","https://openalex.org/W2160660844","https://openalex.org/W2197664457","https://openalex.org/W2201552871"],"related_works":["https://openalex.org/W2181855565","https://openalex.org/W1656148676","https://openalex.org/W2102317643","https://openalex.org/W2615650824","https://openalex.org/W7098037251","https://openalex.org/W7097021199","https://openalex.org/W2572223517","https://openalex.org/W2132244350","https://openalex.org/W7100181118","https://openalex.org/W2154412972"],"abstract_inverted_index":{"Adaptive":[0],"join":[1,30,38,54,74,80,118,167,172],"algorithms":[2],"have":[3],"recently":[4],"attracted":[5],"a":[6,76,115,154,170],"lot":[7],"of":[8,101,111,149],"attention":[9],"in":[10,104],"emerging":[11],"applications":[12],"where":[13],"data":[14,19,141],"are":[15,47,142],"provided":[16],"by":[17,52,58],"autonomous":[18],"sources":[20],"through":[21],"heterogeneous":[22],"network":[23,62],"environments.":[24],"Their":[25],"main":[26],"advantage":[27],"over":[28],"traditional":[29],"techniques":[31],"is":[32,169],"that":[33,95,120,174],"they":[34],"can":[35],"start":[36],"producing":[37,105],"results":[39,106],"as":[40,42],"soon":[41],"the":[43,99,108,112,122,147,150],"first":[44,68],"input":[45],"tuples":[46,103],"available,":[48],"thus,":[49,134],"improving":[50],"pipelining":[51],"smoothing":[53],"result":[55,83],"production":[56],"and":[57,114,131],"masking":[59],"source":[60],"or":[61],"delays.":[63],"In":[64],"this":[65],"paper,":[66],"The":[67],"propose":[69],"Double":[70],"Index":[71,164],"NEsted-loops":[72],"Reactive":[73,166],"(DINER),":[75],"new":[77,140],"adaptive":[78],"two-way":[79],"algorithm":[81,123],"for":[82,153],"rate":[84],"maximization.":[85],"DINER":[86],"combines":[87],"two":[88,161],"key":[89],"elements:":[90],"an":[91],"intuitive":[92],"flushing":[93],"policy":[94],"aims":[96],"to":[97,124],"increase":[98],"productivity":[100],"in-memory":[102],"during":[107],"online":[109],"phase":[110],"join,":[113],"novel":[116],"reentrant":[117],"technique":[119,152],"allows":[121],"rapidly":[125],"switch":[126],"between":[127],"processing":[128],"in-":[129],"memory":[130],"disk-resident":[132],"tuples,":[133],"better":[135],"exploiting":[136],"temporary":[137],"delays":[138],"when":[139],"not":[143],"available.":[144],"Then":[145],"extend":[146],"applicability":[148],"proposed":[151],"more":[155,159],"challenging":[156],"setup:":[157],"handling":[158],"than":[160],"inputs.":[162],"Multiple":[163],"NEsted-loop":[165],"(MINER)":[168],"multiway":[171],"operator":[173],"inherits":[175],"its":[176],"principles":[177],"from":[178],"DINER.":[179]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2016-06-24T00:00:00"}