{"id":"https://openalex.org/W2807787047","doi":"https://doi.org/10.1145/3219617.3219619","title":"State Dependent Control of Closed Queueing Networks","display_name":"State Dependent Control of Closed Queueing Networks","publication_year":2018,"publication_date":"2018-06-12","ids":{"openalex":"https://openalex.org/W2807787047","doi":"https://doi.org/10.1145/3219617.3219619","mag":"2807787047"},"language":"en","primary_location":{"id":"doi:10.1145/3219617.3219619","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219617.3219619","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219617.3219619","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3219617.3219619","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085889685","display_name":"Siddhartha Banerjee","orcid":"https://orcid.org/0000-0002-8954-4578"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Siddhartha Banerjee","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000266593","display_name":"Yash Kanoria","orcid":"https://orcid.org/0000-0002-7221-357X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Kanoria","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059269080","display_name":"Pengyu Qian","orcid":"https://orcid.org/0000-0002-1759-1009"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyu Qian","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085889685"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":2.8402,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90658775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9984999895095825,"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/pooling","display_name":"Pooling","score":0.7421201467514038},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.681135892868042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092948913574219},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.48477333784103394},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4803377389907837},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47608819603919983},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4689454734325409},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.44250237941741943},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33207494020462036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21356835961341858},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11382418870925903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09031057357788086},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08919018507003784}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7421201467514038},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.681135892868042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092948913574219},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.48477333784103394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4803377389907837},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47608819603919983},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4689454734325409},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.44250237941741943},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33207494020462036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21356835961341858},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11382418870925903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09031057357788086},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08919018507003784},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219617.3219619","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219617.3219619","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219617.3219619","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3219617.3219619","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219617.3219619","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219617.3219619","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G4398700008","display_name":null,"funder_award_id":"W911NF-17-1-0094","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4404219267","display_name":null,"funder_award_id":"W911NF-17-1-0094","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5523189407","display_name":null,"funder_award_id":"CMMI 1653477","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5842332016","display_name":null,"funder_award_id":"W911NF-17-1-009","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7054234334","display_name":null,"funder_award_id":"1653477","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807787047.pdf","grobid_xml":"https://content.openalex.org/works/W2807787047.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2793596098"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W2163664144","https://openalex.org/W1907383933"],"abstract_inverted_index":{"We":[0,61,75],"study":[1],"the":[2,27,33,55,59,63,72,95,123,142,157],"design":[3,28],"of":[4,29,65,79,106,119,125,156,159],"state":[5,70,83],"dependent":[6,84],"control":[7],"for":[8,109],"a":[9,77,103],"closed":[10],"queueing":[11],"network":[12],"model,":[13],"inspired":[14],"by":[15],"shared":[16],"transportation":[17],"systems":[18],"such":[19],"as":[20,71,122],"ridesharing.":[21],"In":[22],"particular,":[23],"we":[24,132],"focus":[25],"on":[26],"assignment":[30,147],"policies,":[31,148],"wherein":[32],"platform":[34],"can":[35],"choose":[36],"which":[37],"supply":[38,49,126],"unit":[39,50],"to":[40,42,102,129],"dispatch":[41],"meet":[43],"an":[44,116,137],"incoming":[45],"customer":[46],"request.":[47],"The":[48,163],"subsequently":[51],"becomes":[52],"available":[53],"at":[54],"destination":[56],"after":[57],"dropping":[58],"customer.":[60],"consider":[62],"proportion":[64],"dropped":[66],"demand":[67],"in":[68,154],"steady":[69],"performance":[73],"measure.":[74],"propose":[76],"family":[78],"simple":[80],"and":[81,91,149],"explicit":[82],"policies":[85,90],"called":[86],"Scaled":[87],"MaxWeight":[88],"(SMW)":[89],"prove":[92],"that":[93,134,140],"under":[94],"complete":[96],"resource":[97],"pooling":[98],"(CRP)":[99],"condition":[100,108],"(analogous":[101],"strict":[104],"version":[105],"Hall's":[107],"bipartite":[110],"matchings),":[111],"any":[112],"SMW":[113,138,165],"policy":[114,139,153,166],"induces":[115],"exponential":[117],"decay":[118],"demand-dropping":[120],"probability":[121],"number":[124],"units":[127],"scales":[128],"infinity.":[130],"Furthermore,":[131],"show":[133],"there":[135],"is":[136],"achieves":[141],"optimal":[143,164],"exponent":[144],"among":[145],"all":[146],"analytically":[150],"specify":[151],"this":[152],"terms":[155],"matrix":[158],"customer-request":[160],"arrival":[161],"rates.":[162],"protects":[167],"structurally":[168],"under-supplied":[169],"locations.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
