{"id":"https://openalex.org/W2975205870","doi":"https://doi.org/10.1109/infcomw.2019.8845223","title":"Age-aware Scheduling for Asynchronous Arriving Jobs in Edge Applications","display_name":"Age-aware Scheduling for Asynchronous Arriving Jobs in Edge Applications","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2975205870","doi":"https://doi.org/10.1109/infcomw.2019.8845223","mag":"2975205870"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5067192488","display_name":"Jing Zhong","orcid":"https://orcid.org/0000-0002-8815-4105"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhong","raw_affiliation_strings":["WINLAB, Rutgers University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103021115","display_name":"Wuyang Zhang","orcid":"https://orcid.org/0009-0001-8068-0282"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wuyang Zhang","raw_affiliation_strings":["WINLAB, Rutgers University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022958415","display_name":"Roy D. Yates","orcid":"https://orcid.org/0000-0003-4333-6607"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roy D. Yates","raw_affiliation_strings":["WINLAB, Rutgers University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086552074","display_name":"Andrey Garnaev","orcid":"https://orcid.org/0000-0003-0821-3812"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrey Garnaev","raw_affiliation_strings":["WINLAB, Rutgers University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103041851","display_name":"Yanyong Zhang","orcid":"https://orcid.org/0000-0001-9046-798X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyong Zhang","raw_affiliation_strings":["University of Science and Technology of China (USTC), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China (USTC), China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9753,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91985806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9534000158309937,"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/T13471","display_name":"Cognitive Functions and Memory","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8358975648880005},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7223376631736755},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.645808219909668},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6371366381645203},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5586796998977661},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5549015402793884},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47431278228759766},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45700135827064514},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4519661068916321},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43054622411727905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1834060251712799},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13068947196006775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11346438527107239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358975648880005},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7223376631736755},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.645808219909668},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6371366381645203},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5586796998977661},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5549015402793884},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47431278228759766},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45700135827064514},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4519661068916321},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43054622411727905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1834060251712799},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13068947196006775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11346438527107239},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcomw.2019.8845223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6700000166893005,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1970679118","https://openalex.org/W2069417241","https://openalex.org/W2260745325","https://openalex.org/W2395955682","https://openalex.org/W2588468001","https://openalex.org/W2761868869","https://openalex.org/W2765233355","https://openalex.org/W2885425266","https://openalex.org/W2886359150","https://openalex.org/W2920700677","https://openalex.org/W2963028458","https://openalex.org/W2963696760","https://openalex.org/W2963782453","https://openalex.org/W2963831435","https://openalex.org/W4245777296"],"related_works":["https://openalex.org/W2092530219","https://openalex.org/W2116677773","https://openalex.org/W2388464034","https://openalex.org/W2533125852","https://openalex.org/W3154796165","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Age":[0],"of":[1,15,68,72,138],"information":[2,9],"has":[3],"been":[4],"proposed":[5,126],"recently":[6],"to":[7,29,57,63,91],"measure":[8],"freshness,":[10],"especially":[11],"for":[12,88,135],"a":[13,65,83,136],"class":[14,137],"real-time":[16],"video":[17,53],"applications.":[18],"These":[19],"applications":[20],"often":[21],"demand":[22],"timely":[23],"updates":[24,60],"with":[25,41,97],"edge":[26,36,118],"cloud":[27,37,119],"computing":[28],"guarantee":[30],"the":[31,35,59,69,73,89,93,98,108,125,131],"user":[32],"experience.":[33],"However,":[34],"is":[38,130],"usually":[39],"equipped":[40],"limited":[42],"computation":[43],"and":[44,47,122],"network":[45],"resources":[46],"therefore,":[48],"resource":[49],"contention":[50],"among":[51],"different":[52],"streams":[54],"can":[55],"contribute":[56],"making":[58],"stale.":[61],"Aiming":[62],"minimize":[64],"penalty":[66,101,140],"function":[67],"weighted":[70],"sum":[71],"average":[74],"age":[75,139],"over":[76],"multiple":[77,114],"end":[78],"users,":[79],"this":[80,104],"paper":[81],"presents":[82],"greedy":[84,127],"traffic":[85],"scheduling":[86,128],"policy":[87,134],"processor":[90],"choose":[92],"next":[94],"processing":[95],"request":[96],"maximum":[99],"immediate":[100],"reduction.":[102],"In":[103],"work,":[105],"we":[106],"formulate":[107],"service":[109],"process":[110],"when":[111],"requests":[112],"from":[113],"users":[115],"arrive":[116],"at":[117],"servers":[120],"asynchronously":[121],"show":[123],"that":[124],"algorithm":[129],"optimal":[132],"work-conserving":[133],"functions.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
