{"id":"https://openalex.org/W2133307928","doi":"https://doi.org/10.1109/cdc.2007.4434508","title":"Myopic policies and maxweight policies for stochastic networks","display_name":"Myopic policies and maxweight policies for stochastic networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2133307928","doi":"https://doi.org/10.1109/cdc.2007.4434508","mag":"2133307928"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4434508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","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/A5047988825","display_name":"Sean Meyn","orcid":"https://orcid.org/0000-0002-8558-365X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sean Meyn","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Coordinated Sciences Laboratory, University of Illinois, Urbana-Champaign, Urbana, IL, USA","Illinois Univ., Urbana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Coordinated Sciences Laboratory, University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Illinois Univ., Urbana","institution_ids":["https://openalex.org/I2801919071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047988825"],"corresponding_institution_ids":["https://openalex.org/I157725225","https://openalex.org/I2801919071"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23753232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"639","last_page":"646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9976000189781189,"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":0.9976000189781189,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9976000189781189,"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/T13553","display_name":"Age of Information Optimization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/monotone-polygon","display_name":"Monotone polygon","score":0.619566798210144},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5383976101875305},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5156087279319763},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5112199783325195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4816781282424927},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.46115803718566895},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41915589570999146},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.41674309968948364},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.41028478741645813},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40165501832962036},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12587520480155945},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.10392048954963684},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10355409979820251}],"concepts":[{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.619566798210144},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5383976101875305},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5156087279319763},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5112199783325195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4816781282424927},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.46115803718566895},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41915589570999146},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.41674309968948364},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.41028478741645813},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40165501832962036},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12587520480155945},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.10392048954963684},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10355409979820251},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2007.4434508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W565357261","https://openalex.org/W610904500","https://openalex.org/W1487626875","https://openalex.org/W1968610865","https://openalex.org/W1995713768","https://openalex.org/W1999102639","https://openalex.org/W2056532936","https://openalex.org/W2078797890","https://openalex.org/W2082183995","https://openalex.org/W2103098926","https://openalex.org/W2105177639","https://openalex.org/W2111704404","https://openalex.org/W2115558605","https://openalex.org/W2121395269","https://openalex.org/W2130954568","https://openalex.org/W2131802419","https://openalex.org/W2133688953","https://openalex.org/W2159617688","https://openalex.org/W2333425739","https://openalex.org/W3099615934","https://openalex.org/W4250988636"],"related_works":["https://openalex.org/W1489292980","https://openalex.org/W2951610245","https://openalex.org/W2795079910","https://openalex.org/W1430963189","https://openalex.org/W2052430123","https://openalex.org/W3037410748","https://openalex.org/W4319835971","https://openalex.org/W2049901819","https://openalex.org/W1983437306","https://openalex.org/W1974262772"],"abstract_inverted_index":{"It":[0],"is":[1,13,22,80,95,99,138,162],"shown":[2],"that":[3,137],"stability":[4],"of":[5,16,31,61,68,72,90,102,122],"the":[6,17,38,53,69,73,84,93,116,123],"celebrated":[7],"MaxWeight":[8,74],"or":[9,110],"back":[10],"pressure":[11],"policies":[12,65],"a":[14,27,32,42,58,88,100,103,107,111,128,134,154,165,170],"consequence":[15],"following":[18],"interpretation:":[19],"either":[20],"policy":[21,94,136],"myopic":[23,135],"with":[24,145,169],"respect":[25],"to":[26,133],"surrogate":[28],"value":[29,125],"function":[30,114,126],"very":[33],"special":[34],"form,":[35],"in":[36,83,142],"which":[37],"\"marginal":[39],"disutility\"":[40],"at":[41],"buffer":[43,48],"vanishes":[44],"for":[45,57,115,127,153,164],"vanishingly":[46],"small":[47],"population.":[49],"This":[50],"observation":[51],"motivates":[52],"h-MaxWeight":[54],"policy,":[55,85],"defined":[56],"wide":[59],"class":[60],"functions":[62],"h.":[63],"These":[64],"share":[66],"many":[67],"attractive":[70],"properties":[71],"policy:":[75],"(i)":[76],"Arrival":[77],"rate":[78],"data":[79],"not":[81],"required":[82],"(ii)":[86],"Under":[87],"variety":[89],"general":[91,156],"conditions,":[92],"stabilizing":[96],"when":[97],"h":[98],"perturbation":[101,121],"monotone":[104,108,112],"linear":[105],"function,":[106],"quadratic,":[109],"Lyapunov":[113],"fluid":[117],"model,":[118],"(iii)":[119],"A":[120],"relative":[124],"workload":[129],"relaxation":[130],"gives":[131],"rise":[132],"approximately":[139],"average-cost":[140],"optimal":[141],"heavy":[143],"traffic,":[144],"logarithmic":[146],"regret.":[147],"The":[148],"first":[149],"results":[150],"are":[151],"obtained":[152],"completely":[155],"Markovian":[157,166],"network":[158],"model.":[159],"Asymptotic":[160],"optimality":[161],"established":[163],"scheduling":[167],"model":[168],"single":[171],"bottleneck,":[172],"and":[173],"homogeneous":[174],"servers.":[175]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}