{"id":"https://openalex.org/W2147949402","doi":"https://doi.org/10.1109/hpdc.2002.1029916","title":"Leveraging run time knowledge about event rates to improve memory utilization in wide area data stream filtering","display_name":"Leveraging run time knowledge about event rates to improve memory utilization in wide area data stream filtering","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2147949402","doi":"https://doi.org/10.1109/hpdc.2002.1029916","mag":"2147949402"},"language":"en","primary_location":{"id":"doi:10.1109/hpdc.2002.1029916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpdc.2002.1029916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 11th IEEE International Symposium on High Performance Distributed Computing","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/A5060672408","display_name":"Beth Plale","orcid":"https://orcid.org/0000-0003-2164-8132"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Plale","raw_affiliation_strings":["Computer Science Department, Indiana University, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Indiana University, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060672408"],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":3.2242,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93287067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"171","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","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/T12761","display_name":"Data Stream Mining Techniques","score":0.9882000088691711,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9876999855041504,"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":0.8899431228637695},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6347264051437378},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6215707063674927},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5148700475692749},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4289501905441284},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40062960982322693},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3469625413417816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3259214162826538},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30678051710128784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8899431228637695},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6347264051437378},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6215707063674927},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5148700475692749},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4289501905441284},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40062960982322693},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3469625413417816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3259214162826538},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30678051710128784},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/hpdc.2002.1029916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpdc.2002.1029916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 11th IEEE International Symposium on High Performance Distributed Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.126.7488","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.7488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.indiana.edu/dde/papers/plaleHPDC2002.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.132.6694","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.6694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.indiana.edu/~plale/documents/Plale_HPDC02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1945028620","https://openalex.org/W1968526517","https://openalex.org/W2002110561","https://openalex.org/W2053693780","https://openalex.org/W2059770925","https://openalex.org/W2095748364","https://openalex.org/W2097432384","https://openalex.org/W2103414666","https://openalex.org/W2104210894","https://openalex.org/W2131696623","https://openalex.org/W2132520482","https://openalex.org/W2133187851","https://openalex.org/W2133422563","https://openalex.org/W2134514186","https://openalex.org/W2138513875","https://openalex.org/W2169593628","https://openalex.org/W2203361072","https://openalex.org/W2724444872","https://openalex.org/W2999505802","https://openalex.org/W4233762723","https://openalex.org/W4236944670","https://openalex.org/W4285719527","https://openalex.org/W6674653989","https://openalex.org/W6675707895","https://openalex.org/W6739850085"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"The":[0,68,95],"dQUOB":[1,43],"system":[2],"conceptualization":[3],"of":[4,38,73,108],"data":[5,14,26,39],"streams":[6,15],"as":[7],"database":[8],"and":[9,104],"its":[10],"SQL":[11],"interface":[12],"to":[13,22,53,89,113,124],"is":[16,71,98],"an":[17,81,99],"intuitive":[18],"way":[19],"for":[20,48,127],"users":[21],"think":[23],"about":[24,119,147],"their":[25],"needs":[27],"in":[28,111,130],"a":[29,65,139],"large":[30],"scale":[31],"application":[32],"containing":[33],"hundreds":[34],"if":[35],"not":[36],"thousands":[37],"streams.":[40],"Experience":[41],"with":[42,64,80],"has":[44],"shown":[45],"the":[46,55,62,74,106,114,125,133,143,155,160],"need":[47],"more":[49],"aggressive":[50],"memory":[51,131],"management":[52],"achieve":[54],"scalability":[56],"we":[57,87],"desire.":[58],"This":[59],"paper":[60],"addresses":[61],"problem":[63],"two-fold":[66],"solution.":[67],"first":[69,84],"one":[70,97],"replacement":[72],"existing":[75],"first-come":[76],"first-served":[77],"scheduling":[78],"algorithm":[79,85,101,134],"earliest":[82],"job":[83],"which":[86,142],"demonstrate":[88,154],"yield":[90],"better":[91],"average":[92],"service":[93],"time.":[94],"second":[96],"introspection":[100,161],"that":[102],"sets":[103],"adapts":[105],"sizes":[107],"join":[109,148],"windows":[110],"response":[112],"knowledge":[115],"acquired":[116],"at":[117],"runtime":[118],"event":[120],"rates.":[121],"In":[122],"addition":[123],"potential":[126],"significant":[128],"improvements":[129],"utilization,":[132],"presented":[135],"here":[136],"also":[137],"provides":[138],"means":[140],"by":[141,159],"user":[144],"can":[145],"reason":[146],"window":[149],"sizes.":[150],"Wide":[151],"area":[152],"measurements":[153],"adaptive":[156],"capability":[157],"required":[158],"technique.":[162]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}