{"id":"https://openalex.org/W2116962306","doi":"https://doi.org/10.1145/1375457.1375503","title":"Revisiting stochastic loss networks","display_name":"Revisiting stochastic loss networks","publication_year":2008,"publication_date":"2008-06-02","ids":{"openalex":"https://openalex.org/W2116962306","doi":"https://doi.org/10.1145/1375457.1375503","mag":"2116962306"},"language":"en","primary_location":{"id":"doi:10.1145/1375457.1375503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1375457.1375503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077832834","display_name":"Kyomin Jung","orcid":"https://orcid.org/0000-0003-2547-7051"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyomin Jung","raw_affiliation_strings":["MIT, Cambridge, MA, USA","MIT, Cambridge MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge MA, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082596545","display_name":"Yingdong Lu","orcid":"https://orcid.org/0000-0002-3672-0865"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingdong Lu","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029499294","display_name":"Devavrat Shah","orcid":"https://orcid.org/0000-0003-0737-3259"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Devavrat Shah","raw_affiliation_strings":["MIT, Cambridge, MA, USA","MIT, Cambridge MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge MA, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079524424","display_name":"Mayank Sharma","orcid":"https://orcid.org/0000-0001-7166-3977"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayank Sharma","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013152760","display_name":"Mark S. Squillante","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark S. Squillante","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"[IBM Thomas J. Watson Research Center, Yorktown Heights, NY , USA]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"407","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/erlang","display_name":"Erlang (programming language)","score":0.8093079328536987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504719018936157},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5146577954292297},{"id":"https://openalex.org/keywords/stationary-distribution","display_name":"Stationary distribution","score":0.510866105556488},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.46407273411750793},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45846450328826904},{"id":"https://openalex.org/keywords/erlang-distribution","display_name":"Erlang distribution","score":0.4141651391983032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3736988306045532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3414872884750366},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.27009260654449463},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.17784026265144348},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13485866785049438},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08082994818687439}],"concepts":[{"id":"https://openalex.org/C82484044","wikidata":"https://www.wikidata.org/wiki/Q334879","display_name":"Erlang (programming language)","level":3,"score":0.8093079328536987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504719018936157},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5146577954292297},{"id":"https://openalex.org/C98951983","wikidata":"https://www.wikidata.org/wiki/Q7604341","display_name":"Stationary distribution","level":3,"score":0.510866105556488},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.46407273411750793},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45846450328826904},{"id":"https://openalex.org/C145437242","wikidata":"https://www.wikidata.org/wiki/Q762448","display_name":"Erlang distribution","level":3,"score":0.4141651391983032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3736988306045532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3414872884750366},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.27009260654449463},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.17784026265144348},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13485866785049438},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08082994818687439},{"id":"https://openalex.org/C42383842","wikidata":"https://www.wikidata.org/wiki/Q193076","display_name":"Functional programming","level":2,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1375457.1375503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1375457.1375503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W91578190","https://openalex.org/W1512866443","https://openalex.org/W1966160676","https://openalex.org/W1967344706","https://openalex.org/W1977398917","https://openalex.org/W1986485496","https://openalex.org/W1992103639","https://openalex.org/W2006912660","https://openalex.org/W2023678444","https://openalex.org/W2048074087","https://openalex.org/W2053491613","https://openalex.org/W2054426547","https://openalex.org/W2079910606","https://openalex.org/W2083838134","https://openalex.org/W2090084467","https://openalex.org/W2109341366","https://openalex.org/W2113144894","https://openalex.org/W2121845267","https://openalex.org/W2136453819","https://openalex.org/W2159079944","https://openalex.org/W2159445174","https://openalex.org/W2163208395","https://openalex.org/W2170219906","https://openalex.org/W2330261917","https://openalex.org/W2341534752","https://openalex.org/W4232461091","https://openalex.org/W4253578968","https://openalex.org/W4298401620","https://openalex.org/W7005582718"],"related_works":["https://openalex.org/W2594392289","https://openalex.org/W830184964","https://openalex.org/W2613997428","https://openalex.org/W4380886430","https://openalex.org/W2322385984","https://openalex.org/W4327524501","https://openalex.org/W1999178477","https://openalex.org/W2162800547","https://openalex.org/W2063143196","https://openalex.org/W4233259071"],"abstract_inverted_index":{"This":[0,34,104],"paper":[1,35,105],"considers":[2],"structural":[3,52,108],"and":[4,95,140],"algorithmic":[5],"problems":[6],"in":[7,29,46,100],"stochastic":[8,47],"loss":[9,27,44,48,130],"networks.":[10],"The":[11],"very":[12],"popular":[13],"Erlang":[14,113],"approximation":[15],"can":[16],"be":[17,97],"shown":[18,61],"to":[19,62,67,90],"provide":[20],"relatively":[21],"poor":[22],"performance":[23],"estimates,":[24],"especially":[25],"for":[26,40,85],"networks":[28,49],"the":[30,42,55,68,77,111,116],"critically":[31],"loaded":[32],"regime.":[33],"proposes":[36],"a":[37,73,127],"novel":[38],"algorithm":[39],"estimating":[41],"stationary":[43,57,78],"probabilities":[45],"based":[50],"on":[51],"properties":[53,109],"of":[54,76,98,110,118,129,137],"exact":[56,70],"distribution,":[58,79],"which":[59,92],"is":[60,83,93,124],"always":[63],"converge,":[64],"exponentially":[65],"fast,":[66],"asymptotically":[69],"results.":[71],"Using":[72],"variational":[74],"characterization":[75],"an":[80,86],"alternative":[81],"proof":[82],"provided":[84],"important":[87],"result":[88],"due":[89],"Kelly,":[91],"simpler":[94],"may":[96],"interest":[99],"its":[101],"own":[102],"right.":[103],"also":[106],"determines":[107],"inverse":[112],"function":[114],"characterizing":[115],"region":[117],"capacities":[119],"that":[120],"ensures":[121],"offered":[122],"traffic":[123],"served":[125],"within":[126],"set":[128],"probabilities.":[131],"Numerical":[132],"experiments":[133],"investigate":[134],"various":[135],"issues":[136],"both":[138],"theoretical":[139],"practical":[141],"interest.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}