{"id":"https://openalex.org/W4406355660","doi":"https://doi.org/10.1109/wcsp62071.2024.10827367","title":"A Bayesian Optimization Approach for Online System Configuration of Edge Video Analytics","display_name":"A Bayesian Optimization Approach for Online System Configuration of Edge Video Analytics","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355660","doi":"https://doi.org/10.1109/wcsp62071.2024.10827367"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10827367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5023555417","display_name":"Haowen Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowen Tang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021492036","display_name":"Suzhi Bi","orcid":"https://orcid.org/0000-0001-6212-690X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suzhi Bi","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068468945","display_name":"Shuoyao Wang","orcid":"https://orcid.org/0000-0003-1395-4383"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoyao Wang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084177212","display_name":"Xiaohui Lin","orcid":"https://orcid.org/0000-0001-6875-0711"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Lin","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032726332","display_name":"Y. T. Gu","orcid":"https://orcid.org/0000-0002-9648-4913"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Gu","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036478038","display_name":"Zhi Quan","orcid":"https://orcid.org/0000-0001-8108-2893"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Quan","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"807","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9031000137329102,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9031000137329102,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.767159104347229},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7438215017318726},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7284196019172668},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5646297931671143},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5195579528808594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3171907663345337},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25023528933525085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767159104347229},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7438215017318726},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7284196019172668},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5646297931671143},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5195579528808594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3171907663345337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25023528933525085}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10827367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2081187248","https://openalex.org/W2624989916","https://openalex.org/W2790412025","https://openalex.org/W2896225285","https://openalex.org/W3047392327","https://openalex.org/W3153004963","https://openalex.org/W3155172585","https://openalex.org/W3156233896","https://openalex.org/W3160220816","https://openalex.org/W4317892524","https://openalex.org/W4382059335","https://openalex.org/W4387491256","https://openalex.org/W4390188781","https://openalex.org/W6600324250","https://openalex.org/W6694189648","https://openalex.org/W6767342384"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2968265130","https://openalex.org/W2973085194","https://openalex.org/W3117893869","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Surveillance":[0],"cameras":[1,42],"have":[2,182],"been":[3],"extensively":[4],"deployed":[5],"in":[6,194],"urban":[7],"areas.":[8],"The":[9,180],"captured":[10],"video":[11,47,62,79,88,145,201],"data":[12],"requires":[13],"real-time":[14],"analysis,":[15],"e.g.,":[16],"target":[17],"detection":[18],"and":[19,29,81,91,110,140,173],"classification,":[20],"to":[21,34,50,73,85,134],"complete":[22],"specific":[23],"tasks,":[24],"such":[25],"as":[26,115,161],"traffic":[27],"control":[28],"public":[30],"safety":[31],"monitoring.":[32],"Thanks":[33],"the":[35,54,66,76,82,87,101,108,119,137,153,162,178,184,191,196],"advance":[36],"of":[37,78,103,112,118,143,186,198],"edge":[38,51,113,144,200],"computing":[39],"technology,":[40],"hardware-constrained":[41],"can":[43],"offload":[44],"computationally":[45],"intensive":[46],"analysis":[48,89],"tasks":[49],"servers,":[52],"alleviating":[53],"prolonged":[55],"latency":[56],"issues":[57],"associated":[58],"with":[59],"traditional":[60],"cloud-based":[61],"analytics.":[63],"Constrained":[64],"by":[65,190],"wireless":[67],"transmission":[68,92],"capacity,":[69],"it":[70],"is":[71,100],"necessary":[72],"dynamically":[74],"configure":[75],"resolution":[77,138],"frames":[80],"communication":[83],"bandwidth":[84,141],"balance":[86],"accuracy":[90,111],"delay.":[93],"In":[94],"practice,":[95],"a":[96,116],"major":[97],"design":[98],"difficulty":[99],"lack":[102],"explicit":[104],"models":[105],"that":[106,152],"describe":[107],"delay":[109],"inference":[114],"function":[117],"configuration":[120],"choices.":[121],"For":[122],"this,":[123],"we":[124],"propose":[125],"an":[126],"online":[127],"algorithm":[128],"based":[129],"on":[130],"Bayesian":[131],"Optimization":[132],"(BO)":[133],"jointly":[135],"optimize":[136],"selection":[139],"allocation":[142],"analytics":[146,202],"systems":[147],"on-the-fly.":[148],"Simulation":[149],"results":[150,181],"demonstrate":[151],"proposed":[154],"BO-based":[155,192],"method":[156,193],"has":[157],"comparable":[158],"average":[159],"performance":[160,197],"\u201cblack-box\u201d":[163],"deep":[164],"reinforcement":[165],"learning":[166],"algorithm,":[167],"while":[168],"achieving":[169],"greater":[170],"temporal":[171],"stability":[172],"much":[174],"higher":[175],"fairness":[176],"among":[177],"users.":[179],"showcased":[183],"importance":[185],"model":[187],"interpretability":[188],"offered":[189],"enhancing":[195],"dynamic":[199],"systems.":[203]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
