{"id":"https://openalex.org/W3187219391","doi":"https://doi.org/10.1109/icc42927.2021.9500513","title":"Joint Optimization of Data Transfer and Co-Execution for DNN in Edge Computing","display_name":"Joint Optimization of Data Transfer and Co-Execution for DNN in Edge Computing","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3187219391","doi":"https://doi.org/10.1109/icc42927.2021.9500513","mag":"3187219391"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on 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/A5045410502","display_name":"Ziyan Fu","orcid":"https://orcid.org/0000-0002-1039-0386"},"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":"Ziyan Fu","raw_affiliation_strings":["Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052528809","display_name":"Yuezhi Zhou","orcid":"https://orcid.org/0000-0002-1850-3007"},"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":"Yuezhi Zhou","raw_affiliation_strings":["Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019859734","display_name":"Chao Wu","orcid":"https://orcid.org/0000-0002-4542-8671"},"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":"Chao Wu","raw_affiliation_strings":["Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"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":"Yaoxue Zhang","raw_affiliation_strings":["Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,BNRist,Department of Computer Science and Technology,Beijing,China,10084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045410502"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7641,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73157508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.998199999332428,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9950000047683716,"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":0.8782355785369873},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7203832268714905},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6457148194313049},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6420899629592896},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5879167318344116},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5783205032348633},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5451090931892395},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.4602040946483612},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4447748363018036},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42769548296928406},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3438306450843811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3121318221092224},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.30562931299209595},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1662140190601349},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13789528608322144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8782355785369873},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7203832268714905},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6457148194313049},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6420899629592896},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5879167318344116},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5783205032348633},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5451090931892395},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.4602040946483612},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4447748363018036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42769548296928406},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3438306450843811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3121318221092224},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.30562931299209595},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1662140190601349},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13789528608322144},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2297325673","https://openalex.org/W2325939864","https://openalex.org/W2400861403","https://openalex.org/W2519091744","https://openalex.org/W2565305208","https://openalex.org/W2612193523","https://openalex.org/W2624989916","https://openalex.org/W2626129225","https://openalex.org/W2771329008","https://openalex.org/W2896180420","https://openalex.org/W2949382160","https://openalex.org/W2963283923","https://openalex.org/W2980073220","https://openalex.org/W3008867028","https://openalex.org/W4236853429","https://openalex.org/W4249516033","https://openalex.org/W4249932213","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2979760315","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W2956163139","https://openalex.org/W3013760193","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"plays":[2],"an":[3],"increasingly":[4],"important":[5],"role":[6],"in":[7,17],"human":[8],"life.":[9],"However,":[10,49],"resource-constrained":[11],"IoT":[12,90],"devices":[13],"are":[14],"still":[15],"inefficient":[16],"performing":[18],"deep":[19],"neural":[20],"network":[21,62,74,83,121,143,165],"(DNN)":[22],"inference.":[23,106],"Existing":[24],"works":[25],"have":[26],"attempted":[27],"to":[28,45,119,141,154],"improve":[29],"the":[30,46,61,89,132],"performance":[31,169],"by":[32],"leveraging":[33],"edge":[34,47,93],"computing":[35,86],"that":[36,102,161],"partitions":[37],"DNN":[38,105],"and":[39,85,92,95,128,134,136,167],"offloads":[40],"a":[41,99,147],"part":[42],"of":[43,51,88,116],"workloads":[44,56],"server.":[48],"most":[50],"them":[52,139],"focus":[53],"on":[54,151],"scheduling":[55],"among":[57,131],"different":[58],"devices,":[59],"ignoring":[60],"costs.":[63,122],"Thus,":[64],"user":[65],"experience":[66],"easily":[67],"suffers":[68],"from":[69],"inferior":[70,109],"conditions":[71,84],"such":[72],"as":[73],"congestion.":[75],"To":[76],"address":[77],"this":[78,156],"issue,":[79],"we":[80,111,124],"jointly":[81],"consider":[82],"capabilities":[87],"device":[91],"server,":[94],"then":[96],"propose":[97,146],"FastCoDNN,":[98],"co-execution":[100],"framework":[101],"enables":[103],"high-performance":[104],"Specifically,":[107],"under":[108],"conditions,":[110],"conduct":[112],"redundant":[113,126],"calculation":[114],"instead":[115],"data":[117,129],"synchronization":[118],"reduce":[120],"Then,":[123],"orchestrate":[125],"calculations":[127],"synchronizations":[130],"local":[133],"edge,":[135],"flexibly":[137],"adjust":[138],"according":[140],"new":[142,148],"conditions.":[144],"We":[145],"algorithm":[149],"based":[150],"dynamic":[152],"programming":[153],"achieve":[155],"adjustment.":[157],"Experimental":[158],"results":[159],"show":[160],"FastCoDNN":[162],"achieves":[163],"fewer":[164],"costs":[166],"much":[168],"improvement":[170],"compared":[171],"with":[172],"existing":[173],"methods.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}