{"id":"https://openalex.org/W1542362577","doi":"https://doi.org/10.1109/mascot.2004.1348289","title":"Fast simulation of excessive population size in tandem jackson networks","display_name":"Fast simulation of excessive population size in tandem jackson networks","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W1542362577","doi":"https://doi.org/10.1109/mascot.2004.1348289","mag":"1542362577"},"language":"en","primary_location":{"id":"doi:10.1109/mascot.2004.1348289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascot.2004.1348289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings.","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/A5012212299","display_name":"Werner Sandmann","orcid":null},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"W. Sandmann","raw_affiliation_strings":["Department of Information Systems and Applied Computer Science, Otto-Friedrich University of Bamberg, Bamberg, Germany","Department of Information Systems and Applied Computer Science Otto-Friedrich University, Bamberg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems and Applied Computer Science, Otto-Friedrich University of Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Department of Information Systems and Applied Computer Science Otto-Friedrich University, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012212299"],"corresponding_institution_ids":["https://openalex.org/I94626330"],"apc_list":null,"apc_paid":null,"fwci":0.9012,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75876131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","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/T11720","display_name":"Probability and Risk Models","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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7153608798980713},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.707187294960022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043482065200806},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6381072998046875},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5328660011291504},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5298107862472534},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5010111331939697},{"id":"https://openalex.org/keywords/tandem","display_name":"Tandem","score":0.48557016253471375},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.46839427947998047},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46380212903022766},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4559725522994995},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.44093117117881775},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4408707618713379},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35553646087646484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32027506828308105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24795666337013245},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22365298867225647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21950283646583557},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.09119629859924316},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08292758464813232}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7153608798980713},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.707187294960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043482065200806},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6381072998046875},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5328660011291504},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5298107862472534},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5010111331939697},{"id":"https://openalex.org/C2777814067","wikidata":"https://www.wikidata.org/wiki/Q1752317","display_name":"Tandem","level":2,"score":0.48557016253471375},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.46839427947998047},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46380212903022766},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4559725522994995},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.44093117117881775},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4408707618713379},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35553646087646484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32027506828308105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24795666337013245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22365298867225647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21950283646583557},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.09119629859924316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08292758464813232},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mascot.2004.1348289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascot.2004.1348289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1555084432","https://openalex.org/W1985658808","https://openalex.org/W2010762666","https://openalex.org/W2017036530","https://openalex.org/W2055737240","https://openalex.org/W2059120410","https://openalex.org/W2087018957","https://openalex.org/W2090951154","https://openalex.org/W2100797305","https://openalex.org/W2119879106","https://openalex.org/W2128258795","https://openalex.org/W2146416787","https://openalex.org/W2160839438","https://openalex.org/W2162407085","https://openalex.org/W2166317963","https://openalex.org/W2171723207","https://openalex.org/W2737073314","https://openalex.org/W2779244706","https://openalex.org/W3009870883","https://openalex.org/W4232349074","https://openalex.org/W4250033495","https://openalex.org/W4301258660"],"related_works":["https://openalex.org/W4323262585","https://openalex.org/W2023186083","https://openalex.org/W4211086969","https://openalex.org/W2890607860","https://openalex.org/W2025127327","https://openalex.org/W4380869615","https://openalex.org/W2798825245","https://openalex.org/W2519652201","https://openalex.org/W2154144052","https://openalex.org/W2067389193"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,5,52,74,93],"probability":[3,27],"that":[4],"population":[6],"in":[7],"a":[8,19,42],"two":[9],"node":[10],"tandem":[11],"Jackson":[12],"network":[13],"reaches":[14],"some":[15],"high":[16],"level":[17],"during":[18],"busy":[20],"period.":[21],"For":[22],"estimating":[23],"this":[24],"rare":[25],"event":[26],"we":[28],"apply":[29],"fast":[30],"simulation":[31],"using":[32],"importance":[33],"sampling.":[34],"Our":[35],"focus":[36],"is":[37,65,140],"thereby":[38],"on":[39,69,78],"systems":[40],"without":[41],"single":[43],"bottleneck":[44],"queue,":[45],"which":[46],"has":[47],"turned":[48],"out":[49],"to":[50,91,105,116],"be":[51],"most":[53],"critical":[54],"case":[55],"for":[56],"existing":[57],"methods.":[58],"A":[59],"state":[60,79,98],"independent":[61,99],"change":[62,94,137],"of":[63,95,101,135,138],"measure":[64,102,139],"developed":[66],"heuristically":[67],"based":[68],"typical":[70],"system":[71],"behavior":[72],"and":[73,118,120],"likelihood":[75],"ratio":[76],"properties":[77],"cycles.":[80],"Neither":[81],"complicated":[82],"large":[83],"deviations":[84],"analysis":[85],"nor":[86],"costly":[87],"presimulations":[88],"are":[89,103,114],"needed":[90],"determine":[92],"measure.":[96],"Although":[97],"changes":[100],"known":[104],"have":[106],"limitations,":[107],"they":[108,121],"also":[109],"provide":[110],"several":[111],"advantages.":[112],"They":[113],"easy":[115],"use":[117],"understand,":[119],"do":[122],"not":[123],"cause":[124],"space":[125],"complexity":[126],"problems":[127],"often":[128],"strongly":[129],"limiting":[130],"state-dependent":[131],"approaches.":[132],"The":[133],"efficiency":[134],"our":[136],"demonstrated":[141],"by":[142],"numerical":[143],"results.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}