{"id":"https://openalex.org/W2949628230","doi":"https://doi.org/10.1109/padsw.2018.8645013","title":"JALAD: Joint Accuracy-And Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution","display_name":"JALAD: Joint Accuracy-And Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2949628230","doi":"https://doi.org/10.1109/padsw.2018.8645013","mag":"2949628230"},"language":"en","primary_location":{"id":"doi:10.1109/padsw.2018.8645013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/padsw.2018.8645013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.10027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110708520","display_name":"Hongshan Li","orcid":"https://orcid.org/0000-0002-8792-2774"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongshan Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078809003","display_name":"Chenghao Hu","orcid":"https://orcid.org/0000-0001-9842-3877"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghao Hu","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032508900","display_name":"Jingyan Jiang","orcid":"https://orcid.org/0000-0003-4897-2645"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Jiang","raw_affiliation_strings":["Department of Computer Science, Jilin University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jilin University","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376399","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-5462-6178"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041572550","display_name":"Yonggang Wen","orcid":"https://orcid.org/0000-0002-2751-5114"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yonggang Wen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110708520"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.7437,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.9713329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9952999949455261,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8522228002548218},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7484580278396606},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6478241086006165},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.618503212928772},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.6016978025436401},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5030698180198669},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4911818206310272},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43134137988090515},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4273647367954254},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33156073093414307},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3208680748939514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26662272214889526},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14432671666145325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522228002548218},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7484580278396606},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6478241086006165},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.618503212928772},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.6016978025436401},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5030698180198669},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4911818206310272},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43134137988090515},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4273647367954254},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33156073093414307},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3208680748939514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26662272214889526},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14432671666145325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/padsw.2018.8645013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/padsw.2018.8645013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.10027","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.10027","pdf_url":"https://arxiv.org/pdf/1812.10027","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/143195","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/143195","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.10027","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.10027","pdf_url":"https://arxiv.org/pdf/1812.10027","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1605005685","https://openalex.org/W1686810756","https://openalex.org/W1724438581","https://openalex.org/W1997430507","https://openalex.org/W2001996312","https://openalex.org/W2013305145","https://openalex.org/W2029016069","https://openalex.org/W2045371716","https://openalex.org/W2060964919","https://openalex.org/W2063764142","https://openalex.org/W2073765234","https://openalex.org/W2097117768","https://openalex.org/W2101788345","https://openalex.org/W2111581171","https://openalex.org/W2114616381","https://openalex.org/W2114623221","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2125444986","https://openalex.org/W2135099885","https://openalex.org/W2145287260","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2208484250","https://openalex.org/W2262390119","https://openalex.org/W2276892413","https://openalex.org/W2297325673","https://openalex.org/W2416799949","https://openalex.org/W2468875367","https://openalex.org/W2513158035","https://openalex.org/W2605258629","https://openalex.org/W2626129225","https://openalex.org/W2752512710","https://openalex.org/W2760063890","https://openalex.org/W2777638777","https://openalex.org/W2792220137","https://openalex.org/W2806506455","https://openalex.org/W2893550440","https://openalex.org/W2962883027","https://openalex.org/W2963674932","https://openalex.org/W2964299589","https://openalex.org/W3103638723","https://openalex.org/W4236853429","https://openalex.org/W4254211330","https://openalex.org/W4254419844","https://openalex.org/W4297813615","https://openalex.org/W6637373629","https://openalex.org/W6637709462","https://openalex.org/W6677580257","https://openalex.org/W6684191040","https://openalex.org/W6688038175","https://openalex.org/W6754318984"],"related_works":["https://openalex.org/W2055187606","https://openalex.org/W1969542292","https://openalex.org/W4214914670","https://openalex.org/W1498304890","https://openalex.org/W2084875360","https://openalex.org/W3006216828","https://openalex.org/W3123077549","https://openalex.org/W2904165227","https://openalex.org/W2770088598","https://openalex.org/W70469698"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"a":[4,53,77,86,92,111,139,171,238],"rapid":[5],"growth":[6],"of":[7,56,65,94,114,138,173],"deep-network":[8],"based":[9,180],"services":[10],"and":[11,15,80,101,157,190,204],"applications.":[12],"A":[13],"practical":[14],"critical":[16],"problem":[17],"thus":[18],"has":[19,58,116,153],"emerged:":[20],"how":[21],"to":[22,59,67,117,133,143,159,167,198],"effectively":[23],"deploy":[24,144],"the":[25,42,63,68,102,106,123,135,145,161,200,213,227,233],"deep":[26,43,87,140,195],"neural":[27,88],"network":[28,66,89,217],"models":[29,44],"such":[30],"that":[31,91,151,210,221],"they":[32],"can":[33,224],"be":[34,60,118],"executed":[35],"efficiently.":[36],"Conventional":[37],"cloud-based":[38],"approaches":[39],"usually":[40],"run":[41,97],"in":[45,175],"data":[46,57,69,115,182],"center":[47],"servers,":[48],"causing":[49],"large":[50],"latency":[51],"because":[52],"significant":[54],"amount":[55,113],"transferred":[61,119],"from":[62],"edge":[64,99,149],"center.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,127],"propose":[75],"JALAD,":[76,176],"joint":[78],"accuracy-":[79],"latency-aware":[81,194],"execution":[82,163,202,228,236],"framework,":[83],"which":[84],"decouples":[85],"so":[90],"part":[93,104],"it":[95,230],"will":[96],"at":[98,147],"devices":[100],"other":[103],"inside":[105],"conventional":[107],"cloud,":[108],"while":[109],"only":[110,152],"minimum":[112],"between":[120],"them.":[121],"Though":[122],"idea":[124],"seems":[125],"straightforward,":[126],"are":[128,170],"facing":[129],"challenges":[130],"including":[131,177],"i)how":[132],"find":[134],"best":[136],"partition":[137],"structure;":[141],"ii)how":[142],"component":[146],"an":[148],"device":[150],"limited":[154],"computation":[155],"power;":[156],"iii)how":[158],"minimize":[160,199],"overall":[162,201,234],"latency.":[164],"Our":[165],"answers":[166],"these":[168],"questions":[169],"set":[172],"strategies":[174],"1)A":[178],"normalization":[179],"in-layer":[181],"compression":[183,188],"strategy":[184,197,209],"by":[185],"jointly":[186],"considering":[187],"rate":[189],"model":[191,240],"accuracy;":[192],"2)A":[193],"decoupling":[196,214],"latency;":[203],"3)An":[205],"edge-cloud":[206],"structure":[207],"adaptation":[208],"dynamically":[211],"changes":[212],"for":[215],"different":[216],"conditions.":[218],"Experiments":[219],"demonstrate":[220],"our":[222],"solution":[223],"significantly":[225],"reduce":[226],"latency:":[229],"speeds":[231],"up":[232],"inference":[235],"with":[237],"guaranteed":[239],"accuracy":[241],"loss.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-06-27T00:00:00"}