{"id":"https://openalex.org/W2157015250","doi":"https://doi.org/10.1177/003754970007500403","title":"A Parallel Simulation Methodology for Speedup and Obtaining Performance Estimates with Specific Accuracy: Experiences of its Application in Studies of Metropolitan Area Networks","display_name":"A Parallel Simulation Methodology for Speedup and Obtaining Performance Estimates with Specific Accuracy: Experiences of its Application in Studies of Metropolitan Area Networks","publication_year":2000,"publication_date":"2000-10-01","ids":{"openalex":"https://openalex.org/W2157015250","doi":"https://doi.org/10.1177/003754970007500403","mag":"2157015250"},"language":"en","primary_location":{"id":"doi:10.1177/003754970007500403","is_oa":false,"landing_page_url":"https://doi.org/10.1177/003754970007500403","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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/A5049793203","display_name":"Victor Yau","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Yau","raw_affiliation_strings":["Department of Computer Science and Engineering University of Texas at Arlington Box 19015, Arlington, Texas, 76019-0015"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering University of Texas at Arlington Box 19015, Arlington, Texas, 76019-0015","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054946101","display_name":"Krzysztof Pawlikowski","orcid":"https://orcid.org/0000-0002-9855-4399"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Krzysztof Pawlikowski","raw_affiliation_strings":["Department of Computer Science University of Canterbury Christchurch, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Canterbury Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4969,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72830361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":"4","first_page":"211","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.925930380821228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823196649551392},{"id":"https://openalex.org/keywords/simula","display_name":"Simula","score":0.6393988132476807},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6291698217391968},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5837811231613159},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5272269248962402},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5144003033638},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.44258826971054077},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.44091516733169556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39054733514785767},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.24875566363334656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12475407123565674},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08054375648498535}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.925930380821228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823196649551392},{"id":"https://openalex.org/C32155586","wikidata":"https://www.wikidata.org/wiki/Q212569","display_name":"Simula","level":2,"score":0.6393988132476807},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6291698217391968},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5837811231613159},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5272269248962402},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5144003033638},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.44258826971054077},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.44091516733169556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39054733514785767},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.24875566363334656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12475407123565674},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08054375648498535},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/003754970007500403","is_oa":false,"landing_page_url":"https://doi.org/10.1177/003754970007500403","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W584047869","https://openalex.org/W1974843478","https://openalex.org/W1987736843","https://openalex.org/W2015360646","https://openalex.org/W2036165221","https://openalex.org/W2051316645","https://openalex.org/W2075349137","https://openalex.org/W2097908850","https://openalex.org/W2129565200","https://openalex.org/W2142410696","https://openalex.org/W2148762118","https://openalex.org/W2154363017","https://openalex.org/W2338899787","https://openalex.org/W2535419763","https://openalex.org/W4394711252"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W1966837078"],"abstract_inverted_index":{"Performance":[0],"measures":[1],"obtained":[2,108],"by":[3],"stochastic":[4],"simula":[5],"tion":[6],"are":[7,148,159],"estimates,":[8,49],"and":[9,50,95,98,131,134],"one":[10],"must":[11],"consider":[12],"the":[13,16,25,55,83,100,127,135,153],"precision":[14],"of":[15,47,57,86,116,120,146,152],"estimates":[17,82,141],"before":[18],"making":[19],"any":[20],"constructive":[21],"con":[22],"clusions":[23],"about":[24],"investigated":[26],"systems.":[27],"This":[28,64],"paper":[29],"applies":[30],"an":[31,105],"automated":[32],"distributed":[33],"simulation":[34,56],"method,":[35],"called":[36],"Spectral":[37],"Analysis":[38],"in":[39,54],"Parallel":[40],"Time":[41],"Streams,":[42],"to":[43,102,139],"speed":[44,59],"up":[45],"production":[46],"performance":[48],"for":[51,70,123,150],"run-length":[52],"determination":[53],"High-":[58],"Metropolitan":[60],"Area":[61],"Networks":[62],"(MANs).":[63],"method":[65],"makes":[66],"sequential":[67],"simulators":[68],"suitable":[69],"par":[71],"allel":[72],"execution":[73],"on":[74],"multiprocessors":[75],"and/or":[76],"networked":[77],"computers.":[78],"At":[79],"runtime":[80],"it":[81],"information":[84],"content":[85],"observations":[87],"generated":[88],"during":[89],"simulation,":[90],"generates":[91],"a":[92,143],"point":[93],"estimate":[94,106],"confidence":[96],"interval,":[97],"directs":[99],"run":[101,136],"continue":[103],"until":[104],"is":[107],"that":[109],"achieves":[110],"or":[111],"exceeds":[112],"our":[113],"required":[114],"level":[115,145],"precision.":[117],"The":[118],"application":[119],"this":[121],"methodology":[122],"studying":[124],"high-speed":[125],"MANs,":[126],"speedup,":[128],"intermachine":[129],"communication":[130],"\"warm-up\"":[132],"overhead,":[133],"lengths":[137],"needed":[138],"produce":[140],"with":[142],"specific":[144],"precision,":[147],"reported":[149],"each":[151],"param":[154],"eters":[155],"investigated.":[156],"Practical":[157],"implications":[158],"discussed.":[160]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
