{"id":"https://openalex.org/W2950405335","doi":"https://doi.org/10.1109/percomw.2019.8730817","title":"Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights","display_name":"Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2950405335","doi":"https://doi.org/10.1109/percomw.2019.8730817","mag":"2950405335"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2019.8730817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2019.8730817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5025308099","display_name":"S. Dey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swarnava Dey","raw_affiliation_strings":["Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031675991","display_name":"Jayeeta Mondal","orcid":"https://orcid.org/0000-0002-8809-494X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayeeta Mondal","raw_affiliation_strings":["Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031139197","display_name":"Arijit Mukherjee","orcid":"https://orcid.org/0000-0001-5052-4476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arijit Mukherjee","raw_affiliation_strings":["Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems and Robotics, TCS Research & Innovation, Kolkata, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8072,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9648706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"855","last_page":"861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9988999962806702,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996999979019165,"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":0.7973459362983704},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6258247494697571},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5971736907958984},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5851148366928101},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.560519278049469},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.5517348051071167},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5451615452766418},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5277255773544312},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.512031614780426},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.49336686730384827},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4919397532939911},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4808864891529083},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4729601740837097},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3959755599498749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3602835237979889},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.27118781208992004},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12222802639007568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973459362983704},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6258247494697571},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5971736907958984},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5851148366928101},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.560519278049469},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.5517348051071167},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5451615452766418},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5277255773544312},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.512031614780426},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.49336686730384827},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4919397532939911},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4808864891529083},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4729601740837097},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3959755599498749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3602835237979889},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.27118781208992004},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12222802639007568}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2019.8730817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2019.8730817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W98162284","https://openalex.org/W1977295820","https://openalex.org/W2042891189","https://openalex.org/W2053441759","https://openalex.org/W2062118960","https://openalex.org/W2072128103","https://openalex.org/W2119144962","https://openalex.org/W2163605009","https://openalex.org/W2174937805","https://openalex.org/W2183341477","https://openalex.org/W2279098554","https://openalex.org/W2468875367","https://openalex.org/W2520083297","https://openalex.org/W2546536770","https://openalex.org/W2562092129","https://openalex.org/W2605258629","https://openalex.org/W2612445135","https://openalex.org/W2773466598","https://openalex.org/W2786106922","https://openalex.org/W2787752464","https://openalex.org/W2809251854","https://openalex.org/W2809624076","https://openalex.org/W2889744664","https://openalex.org/W2896792906","https://openalex.org/W2897596343","https://openalex.org/W2962677625","https://openalex.org/W2964203871","https://openalex.org/W2964223234","https://openalex.org/W2964299589","https://openalex.org/W4231109964","https://openalex.org/W4236099117","https://openalex.org/W4289305285","https://openalex.org/W4297775537","https://openalex.org/W6604030615","https://openalex.org/W6684191040","https://openalex.org/W6685646442"],"related_works":["https://openalex.org/W2894114519","https://openalex.org/W2920581164","https://openalex.org/W4282941432","https://openalex.org/W4322761281","https://openalex.org/W4309428690","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3200145713","https://openalex.org/W3111395152","https://openalex.org/W4312996489"],"abstract_inverted_index":{"Efforts":[0],"to":[1,25,58,104,190],"leverage":[2],"the":[3,41,148,162,175],"benefits":[4],"of":[5,73,100,111,165,174,182],"Deep":[6],"Learning(DL)":[7],"models":[8,37],"for":[9,39,88,116],"performing":[10],"inference":[11,42,77,127],"in":[12,44,94,179],"resource":[13,95],"constrained":[14,96],"embedded":[15,97],"devices":[16],"is":[17,64,106],"very":[18],"popular":[19],"nowadays.":[20],"Researchers":[21],"worldwide":[22],"are":[23],"trying":[24],"come":[26],"up":[27],"with":[28,70,137],"software":[29,49,84],"and":[30,50,56,67,80,91,113,155,185],"hardware":[31,51,86,139],"accelerators":[32],"that":[33,161],"make":[34],"pre-trained":[35],"DL":[36,53,76,118,126,166,183],"suitable":[38],"running":[40],"phase":[43],"these":[45],"devices.":[46],"Apart":[47],"from":[48,141],"accelerators,":[52],"model":[54],"partitioning":[55,79,150,181],"offloading":[57,81,103,128],"Cloud":[59],"or":[60],"Edge":[61,74],"network":[62],"servers":[63],"becoming":[65],"more":[66,68],"practicable":[69],"increasing":[71],"importance":[72],"Computing.":[75],"workflow":[78],"can":[82],"augment":[83],"/":[85],"acceleration":[87],"improved":[89],"latency":[90],"energy":[92,114],"efficiency":[93],"systems.":[98],"Efficacy":[99],"a":[101,125,138,187],"computation":[102],"system":[105,129,172],"dependent":[107],"on":[108],"proper":[109],"profiling":[110,168],"timing":[112],"required":[115],"processing":[117],"algorithms.":[119],"In":[120],"this":[121],"work":[122],"we":[123],"implement":[124],"using":[130],"Raspberry":[131],"Pi":[132],"3":[133],"based":[134],"robot":[135],"vehicle":[136],"accelerator":[140],"Intel":[142],"(Neural":[143],"Compute":[144],"Stick).":[145],"We":[146,159],"report":[147],"workload":[149],"approach,":[151],"detailed":[152],"experimental":[153],"results":[154,178],"performance":[156],"improvements":[157],"achieved.":[158],"demonstrate":[160],"current":[163],"approach":[164,189],"execution":[167],"without":[169],"considering":[170],"dynamic":[171],"load":[173],"edge":[176],"device":[177],"sub-optimal":[180],"algorithm":[184],"provide":[186],"solution":[188],"that.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
