{"id":"https://openalex.org/W7124167166","doi":"https://doi.org/10.1109/icpads67057.2025.11323003","title":"ReMo: Adaptive Region-Based Offloading for Collaborative Edge Video Analytics","display_name":"ReMo: Adaptive Region-Based Offloading for Collaborative Edge Video Analytics","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124167166","doi":"https://doi.org/10.1109/icpads67057.2025.11323003"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5047176962","display_name":"Yanni Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanni Xing","raw_affiliation_strings":["School of Rail Transportation, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123010019","display_name":"Yu-E Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-E Sun","raw_affiliation_strings":["School of Rail Transportation, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446712","display_name":"Ning Chen","orcid":"https://orcid.org/0000-0003-0722-1757"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Chen","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077978996","display_name":"Hao Pan","orcid":"https://orcid.org/0000-0003-4561-3911"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Pan","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122992793","display_name":"Sheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122996247","display_name":"Jie Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Center for Networked Computing, Temple University,Philadelphia,USA"],"affiliations":[{"raw_affiliation_string":"Center for Networked Computing, Temple University,Philadelphia,USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047176962"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69058684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8557000160217285,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8557000160217285,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01810000091791153,"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"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.01600000075995922,"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/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.579200029373169},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5523999929428101},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4943999946117401},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.475600004196167},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.46230000257492065},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.44769999384880066},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4375999867916107},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42419999837875366},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4198000133037567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256000280380249},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.579200029373169},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.505299985408783},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.475600004196167},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.46230000257492065},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.44769999384880066},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34290000796318054},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3422999978065491},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26489999890327454},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.40569645166397095}],"awards":[{"id":"https://openalex.org/G354318779","display_name":null,"funder_award_id":"62502331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3867396093","display_name":null,"funder_award_id":"2025M771496","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2089050596","https://openalex.org/W2965843888","https://openalex.org/W3047392327","https://openalex.org/W3091671442","https://openalex.org/W3109296687","https://openalex.org/W3147954149","https://openalex.org/W3163860985","https://openalex.org/W4304080763","https://openalex.org/W4312279024","https://openalex.org/W4385486203","https://openalex.org/W4386260610","https://openalex.org/W4390969725","https://openalex.org/W4392843904","https://openalex.org/W4400350972","https://openalex.org/W4401508197","https://openalex.org/W4402916400","https://openalex.org/W4403909911","https://openalex.org/W4404161694","https://openalex.org/W4406069916","https://openalex.org/W4406458390","https://openalex.org/W4406689835","https://openalex.org/W4406728115","https://openalex.org/W4407128922"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,7],"proliferation":[2],"of":[3,9,83],"edge":[4],"computing":[5],"and":[6,20,47,76,101,123],"Internet":[8],"Things":[10],"(IoT),":[11],"inference-driven":[12],"intelligent":[13],"cameras":[14,30],"are":[15],"increasingly":[16],"deployed":[17,31],"for":[18,59],"resource-efficient":[19],"privacypreserving":[21],"processing.":[22],"In":[23],"real-world":[24],"scenarios,":[25],"such":[26],"as":[27,108],"traffic":[28],"surveillance,":[29],"at":[32],"different":[33],"locations":[34],"(e.g.,":[35],"intersections":[36],"or":[37],"corners)":[38],"experience":[39],"imbalanced":[40],"inference":[41],"workloads,":[42],"leading":[43],"to":[44,72,94],"latency":[45,133],"bottlenecks":[46],"resource":[48],"underutilization.":[49],"To":[50],"address":[51],"this,":[52],"we":[53],"propose":[54],"ReMO,":[55],"an":[56,109,115],"adaptive":[57,116],"framework":[58],"collaborative":[60],"video":[61,68],"analytics.":[62],"Unlike":[63],"full-frame":[64],"offloading,":[65],"ReMO":[66,130],"divides":[67],"frames":[69],"into":[70],"regions":[71,96],"reduce":[73],"data":[74],"transmission":[75],"enable":[77],"fine-grained":[78],"load":[79],"balancing.":[80],"It":[81],"consists":[82],"two":[84],"key":[85],"components:":[86],"a":[87,102],"Region":[88,103],"Generator":[89],"that":[90,105,129],"analyzes":[91],"scene":[92],"features":[93],"identify":[95],"with":[97],"varying":[98],"detection":[99],"needs,":[100],"Scheduler":[104],"formulates":[106],"scheduling":[107],"integer":[110],"nonlinear":[111],"problem,":[112],"solved":[113],"via":[114],"online":[117],"algorithm":[118],"based":[119],"on":[120],"Lyapunov":[121],"optimization":[122],"Markov":[124],"approximation.":[125],"Experimental":[126],"results":[127],"demonstrate":[128],"effectively":[131],"reduces":[132],"by":[134],"<tex":[135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$9.3-26.3":[137],"\\%$</tex>":[138],"while":[139],"maintaining":[140],"high":[141],"accuracy,":[142],"outperforming":[143],"baseline":[144],"strategies.":[145]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-15T00:00:00"}