{"id":"https://openalex.org/W2976623461","doi":"https://doi.org/10.1109/isit.2019.8849529","title":"Updates with Multiple Service Classes","display_name":"Updates with Multiple Service Classes","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2976623461","doi":"https://doi.org/10.1109/isit.2019.8849529","mag":"2976623461"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","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/A5022958415","display_name":"Roy D. Yates","orcid":"https://orcid.org/0000-0003-4333-6607"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Roy D. Yates","raw_affiliation_strings":["WINLAB, Rutgers University"],"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067192488","display_name":"Jing Zhong","orcid":"https://orcid.org/0000-0002-8815-4105"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jing Zhong","raw_affiliation_strings":["WINLAB, Rutgers University"],"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103021115","display_name":"Wuyang Zhang","orcid":"https://orcid.org/0009-0001-8068-0282"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wuyang Zhang","raw_affiliation_strings":["WINLAB, Rutgers University"],"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022958415"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":1.4825,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84444247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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"}},{"id":"https://openalex.org/T10300","display_name":"Congenital Heart Disease Studies","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9447000026702881,"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/service","display_name":"Service (business)","score":0.7436679005622864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340890169143677},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.7024387717247009},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4963298439979553},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4809524416923523},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.45816758275032043},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45085588097572327},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43325304985046387},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3985808789730072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1139795184135437},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.096804678440094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08921438455581665}],"concepts":[{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.7436679005622864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340890169143677},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.7024387717247009},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4963298439979553},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4809524416923523},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.45816758275032043},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45085588097572327},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43325304985046387},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3985808789730072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1139795184135437},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.096804678440094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08921438455581665},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2019.8849529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5699999928474426,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W91439453","https://openalex.org/W1640967807","https://openalex.org/W1677318746","https://openalex.org/W1993918491","https://openalex.org/W2003220250","https://openalex.org/W2060313019","https://openalex.org/W2095705527","https://openalex.org/W2162778980","https://openalex.org/W2292593022","https://openalex.org/W2744248483","https://openalex.org/W2755374590","https://openalex.org/W2780247015","https://openalex.org/W2962995513","https://openalex.org/W2963294159","https://openalex.org/W2963869148","https://openalex.org/W3032653123","https://openalex.org/W3106385712","https://openalex.org/W6747426332","https://openalex.org/W6751721227","https://openalex.org/W6786040599"],"related_works":["https://openalex.org/W1993918491","https://openalex.org/W2976049119","https://openalex.org/W2963294159","https://openalex.org/W1539841317","https://openalex.org/W2887369918","https://openalex.org/W3106385712","https://openalex.org/W3013873248","https://openalex.org/W2982769425","https://openalex.org/W2768771208","https://openalex.org/W2752845512","https://openalex.org/W2345637103","https://openalex.org/W2146487252","https://openalex.org/W2069689609","https://openalex.org/W2066786775","https://openalex.org/W1919404870","https://openalex.org/W1999254935","https://openalex.org/W2784477850","https://openalex.org/W2206384509","https://openalex.org/W2125394520","https://openalex.org/W2813030098"],"abstract_inverted_index":{"A":[0],"source":[1],"submits":[2],"status":[3,18],"update":[4,144,161],"jobs":[5],"to":[6,14,21,68,82],"a":[7,15,34,74,107,112],"service":[8,22,26,31,36,45,94,121,138,149],"facility":[9],"for":[10,92],"processing":[11],"and":[12,88,103,123],"delivery":[13],"monitor.":[16],"The":[17],"updates":[19],"belong":[20],"classes":[23,150],"with":[24],"different":[25,130],"requirements.":[27],"We":[28,96,133],"model":[29],"the":[30,44,47,59,72,84,89,100,115,119,160],"requirements":[32],"using":[33],"hyperexponential":[35],"time":[37,122],"model.":[38],"To":[39],"avoid":[40],"class-specific":[41,104],"bias":[42],"in":[43,159],"process,":[46],"system":[48,77],"implements":[49],"an":[50,64,141,152],"M/G/1/1":[51],"blocking":[52],"queue;":[53],"new":[54],"arrivals":[55],"are":[56],"discarded":[57],"if":[58],"server":[60],"is":[61,80,111,156],"busy.":[62],"Using":[63],"age-of-information":[65],"(AoI)":[66],"metric":[67],"characterize":[69],"timeliness":[70],"of":[71,114,118,128],"updates,":[73],"stochastic":[75],"hybrid":[76],"(SHS)":[78],"approach":[79],"employed":[81],"derive":[83],"overall":[85,101],"average":[86,90,120,153],"AoI":[87,91,102,105],"each":[93,136],"class.":[95],"observe":[97],"that":[98,110,135,155],"both":[99],"share":[106],"common":[108],"penalty":[109],"function":[113],"second":[116],"moment":[117],"they":[124],"differ":[125],"chiefly":[126],"because":[127],"their":[129],"arrival":[131,145,162],"rates.":[132],"show":[134],"high-probability":[137],"class":[139],"has":[140],"associated":[142],"age-optimal":[143],"rate":[146],"while":[147],"low-probability":[148],"incur":[151],"age":[154],"always":[157],"decreasing":[158],"rate.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}