{"id":"https://openalex.org/W4283209116","doi":"https://doi.org/10.1109/infocom48880.2022.9796718","title":"Schedule or Wait: Age-Minimization for IoT Big Data Processing in MEC via Online Learning","display_name":"Schedule or Wait: Age-Minimization for IoT Big Data Processing in MEC via Online Learning","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283209116","doi":"https://doi.org/10.1109/infocom48880.2022.9796718"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796718","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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/A5063489530","display_name":"Zichuan Xu","orcid":"https://orcid.org/0000-0001-5438-1468"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichuan Xu","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China,116621"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China,116621","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075082474","display_name":"Wenhao Ren","orcid":"https://orcid.org/0000-0001-8245-9189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Ren","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China,116621"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China,116621","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077465517","display_name":"Weifa Liang","orcid":"https://orcid.org/0000-0002-8207-6740"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weifa Liang","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079727396","display_name":"Wenzheng Xu","orcid":"https://orcid.org/0000-0002-8396-6825"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Xu","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China,610065"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051876680","display_name":"Qiufen Xia","orcid":"https://orcid.org/0000-0001-7978-4933"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiufen Xia","raw_affiliation_strings":["Dalian University of Technology,International School of Information Science and Engineering,Dalian,China,116621"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,International School of Information Science and Engineering,Dalian,China,116621","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology,Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering,Wuhan,China,430074"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering,Wuhan,China,430074","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077829209","display_name":"Mingchu Li","orcid":"https://orcid.org/0000-0001-8280-2936"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchu Li","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China,116621"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China,116621","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063489530"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":4.9528,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97288698,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1809","last_page":"1818"},"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":0.9821000099182129,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9728000164031982,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7952203750610352},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6683420538902283},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.626982569694519},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.583019495010376},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5599237084388733},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5227304100990295},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.513279914855957},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5009675025939941},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48107385635375977},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.46858829259872437},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.429755836725235},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33900290727615356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2591239809989929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2536509931087494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23674708604812622},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20026350021362305},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1260758638381958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952203750610352},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6683420538902283},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.626982569694519},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.583019495010376},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5599237084388733},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5227304100990295},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.513279914855957},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5009675025939941},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48107385635375977},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.46858829259872437},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.429755836725235},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33900290727615356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2591239809989929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2536509931087494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23674708604812622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20026350021362305},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1260758638381958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/infocom48880.2022.9796718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796718","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1969299781","https://openalex.org/W2414950715","https://openalex.org/W2521236993","https://openalex.org/W2740186459","https://openalex.org/W2741383793","https://openalex.org/W2743321735","https://openalex.org/W2770030227","https://openalex.org/W2809579289","https://openalex.org/W2810832003","https://openalex.org/W2896109682","https://openalex.org/W2898903238","https://openalex.org/W2912078769","https://openalex.org/W2919138664","https://openalex.org/W2922254615","https://openalex.org/W2950361478","https://openalex.org/W2962921664","https://openalex.org/W2963082493","https://openalex.org/W2963648590","https://openalex.org/W2963696696","https://openalex.org/W2964345816","https://openalex.org/W2971313139","https://openalex.org/W2972133898","https://openalex.org/W2975205870","https://openalex.org/W2975330064","https://openalex.org/W2987618422","https://openalex.org/W2987862151","https://openalex.org/W2990589660","https://openalex.org/W2996269618","https://openalex.org/W2997484716","https://openalex.org/W3008382652","https://openalex.org/W3017345035","https://openalex.org/W3032653123","https://openalex.org/W3032904648","https://openalex.org/W3036955993","https://openalex.org/W3046993672","https://openalex.org/W3047000248","https://openalex.org/W3047043147","https://openalex.org/W3047137635","https://openalex.org/W3088010827","https://openalex.org/W3092143107","https://openalex.org/W3124943657","https://openalex.org/W3159558042","https://openalex.org/W4200093068","https://openalex.org/W4205621617","https://openalex.org/W4298227433","https://openalex.org/W6741817281","https://openalex.org/W6789874781","https://openalex.org/W6804462016"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W3154796165"],"abstract_inverted_index":{"The":[0],"age":[1],"of":[2,9,20,43,119,148,168],"data":[3,22,49,69],"(AoD)":[4],"is":[5,33],"identified":[6],"as":[7,35,86],"one":[8],"the":[10,18,41,48,62,81,99,120,124,140,158,166,169,184,192],"most":[11],"novel":[12],"and":[13,151,175],"important":[14],"metrics":[15],"to":[16,39,54],"measure":[17],"quality":[19],"big":[21,68],"analytics":[23],"for":[24,66,80,98,115,139],"Internet-of-Things":[25],"(IoT)":[26],"applications.":[27],"Meanwhile,":[28],"mobile":[29],"edge":[30,51],"computing":[31],"(MEC)":[32],"envisioned":[34],"an":[36,77,87,95,107,131],"enabling":[37],"technology":[38],"minimize":[40],"AoD":[42,63,101,142,193],"IoT":[44,55,67,149],"applications":[45],"by":[46,83,122,156,172,190],"processing":[47,70],"in":[50,71,177],"servers":[52],"close":[53],"devices.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"study":[61],"minimization":[64,102,143],"problem":[65,82,144],"MEC":[72],"networks.":[73],"We":[74,92,104,128,163],"first":[75],"propose":[76,94],"exact":[78],"solution":[79],"formulating":[84],"it":[85],"Integer":[88],"Linear":[89],"Program":[90],"(ILP).":[91],"then":[93],"efficient":[96],"heuristic":[97],"offline":[100],"problem.":[103],"also":[105],"devise":[106],"approximation":[108,113],"algorithm":[109,134],"with":[110,135],"a":[111,116,136,178],"provable":[112],"ratio":[114],"special":[117],"case":[118],"problem,":[121],"leveraging":[123],"parametric":[125],"rounding":[126],"technique.":[127,162],"thirdly":[129],"develop":[130],"online":[132,141],"learning":[133],"bounded":[137],"regret":[138],"under":[145],"dynamic":[146],"arrivals":[147],"requests":[150],"uncertain":[152],"network":[153],"delay":[154],"assumptions,":[155],"adopting":[157],"Multi-Armed":[159],"Bandit":[160],"(MAB)":[161],"finally":[164],"evaluate":[165],"performance":[167],"proposed":[170,185],"algorithms":[171,186],"extensive":[173],"simulations":[174],"implementations":[176],"real":[179],"test-bed.":[180],"Results":[181],"show":[182],"that":[183],"outperform":[187],"existing":[188],"approaches":[189],"reducing":[191],"around":[194],"10%.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}