{"id":"https://openalex.org/W1555084432","doi":"https://doi.org/10.1109/wsc.2003.1261462","title":"Efficient analysis of rare events associated with individual buffers in a tandem Jackson network","display_name":"Efficient analysis of rare events associated with individual buffers in a tandem Jackson network","publication_year":2004,"publication_date":"2004-05-06","ids":{"openalex":"https://openalex.org/W1555084432","doi":"https://doi.org/10.1109/wsc.2003.1261462","mag":"1555084432"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2003.1261462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=ucin1099073321&disposition=inline","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036200954","display_name":"Ramya Dhamodaran","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. Dhamodaran","raw_affiliation_strings":["Department of Mechanical, Industrial, and Nuclear Engineering, University of Cincinnati, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Industrial, and Nuclear Engineering, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027509681","display_name":"Bruce C. Shultes","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B.C. Shultes","raw_affiliation_strings":["Department of Mechanical, Industrial, and Nuclear Engineering, University of Cincinnati, Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Industrial, and Nuclear Engineering, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036200954"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.4504,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67017074,"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":"503","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9908000230789185,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.714644193649292},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6958097815513611},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.664988100528717},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6594679355621338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200234889984131},{"id":"https://openalex.org/keywords/buffer-overflow","display_name":"Buffer overflow","score":0.5475113391876221},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.5305134654045105},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.5227794051170349},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4950961172580719},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.45314982533454895},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4176101088523865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3971972167491913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35442763566970825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30232489109039307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13596713542938232},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12390294671058655},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.10656929016113281}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.714644193649292},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6958097815513611},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.664988100528717},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6594679355621338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200234889984131},{"id":"https://openalex.org/C40842320","wikidata":"https://www.wikidata.org/wiki/Q19423","display_name":"Buffer overflow","level":2,"score":0.5475113391876221},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.5305134654045105},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.5227794051170349},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4950961172580719},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.45314982533454895},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4176101088523865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3971972167491913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35442763566970825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30232489109039307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13596713542938232},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12390294671058655},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.10656929016113281},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2003.1261462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"},{"id":"pmh:oai:etd.ohiolink.edu:ucin1099073321","is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=ucin1099073321","pdf_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=ucin1099073321&disposition=inline","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=ucin1099073321","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:etd.ohiolink.edu:ucin1099073321","is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=ucin1099073321","pdf_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=ucin1099073321&disposition=inline","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=ucin1099073321","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1555084432.pdf","grobid_xml":"https://content.openalex.org/works/W1555084432.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2010762666","https://openalex.org/W2017036530","https://openalex.org/W2090951154","https://openalex.org/W2100474479","https://openalex.org/W2110030571","https://openalex.org/W2136891351","https://openalex.org/W2146416787","https://openalex.org/W2162407085","https://openalex.org/W2166317963","https://openalex.org/W4232349074","https://openalex.org/W4384342392","https://openalex.org/W6675254810","https://openalex.org/W6854200747"],"related_works":["https://openalex.org/W1964876911","https://openalex.org/W2160389399","https://openalex.org/W4376653316","https://openalex.org/W2116791275","https://openalex.org/W2246249754","https://openalex.org/W1499907193","https://openalex.org/W1580385316","https://openalex.org/W4390961257","https://openalex.org/W2102034078","https://openalex.org/W1562576911"],"abstract_inverted_index":{"Over":[0],"the":[1,12,32,36,39,42,78,106,109,115,127,131,135,142],"last":[2],"decade,":[3],"importance":[4,29,61,88,120],"sampling":[5,30,62,89,121],"has":[6],"been":[7],"a":[8,46],"popular":[9],"technique":[10],"for":[11,24],"efficient":[13],"estimation":[14],"of":[15,34,41,105,108,118,126],"rare":[16],"event":[17],"probabilities.":[18],"This":[19],"paper":[20],"presents":[21],"an":[22],"approach":[23],"applying":[25],"balanced":[26,94],"likelihood":[27,95],"ratio":[28,96],"to":[31,70],"problem":[33],"quantifying":[35],"probability":[37,74],"that":[38,66,99,114],"content":[40],"second":[43,132],"buffer":[44,80,128,143],"in":[45,75,98,141],"two":[47],"node":[48],"tandem":[49],"Jackson":[50],"network":[51],"reaches":[52],"some":[53],"high":[54],"level":[55],"before":[56],"it":[57],"becomes":[58],"empty.":[59],"Heuristic":[60],"distributions":[63,90],"are":[64,101],"derived":[65],"can":[67],"be":[68],"used":[69],"estimate":[71],"this":[72],"overflow":[73],"cases":[76],"where":[77],"first":[79],"capacity":[81],"is":[82,123,134,138],"finite":[83],"and":[84,137],"infinite.":[85],"The":[86],"proposed":[87],"differ":[91],"from":[92],"previous":[93],"methods":[97],"they":[100],"specified":[102],"as":[103],"functions":[104],"contents":[107],"buffers.":[110],"Empirical":[111],"results":[112],"indicate":[113],"relative":[116],"errors":[117],"these":[119],"estimators":[122],"bounded":[124,139],"independent":[125],"size":[129,144],"when":[130],"server":[133],"bottleneck":[136],"linearly":[140],"otherwise.":[145]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}