{"id":"https://openalex.org/W2793735010","doi":"https://doi.org/10.1109/infocom.2018.8485850","title":"Accelerating Mobile Applications at the Network Edge with Software-Programmable FPGAs","display_name":"Accelerating Mobile Applications at the Network Edge with Software-Programmable FPGAs","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2793735010","doi":"https://doi.org/10.1109/infocom.2018.8485850","mag":"2793735010"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485850","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101906054","display_name":"Shuang Jiang","orcid":"https://orcid.org/0000-0001-6776-6615"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Jiang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103162645","display_name":"Dong He","orcid":"https://orcid.org/0000-0003-4698-7915"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong He","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036100381","display_name":"Chenxi Yang","orcid":"https://orcid.org/0000-0003-0180-4126"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Yang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003999919","display_name":"Chenren Xu","orcid":"https://orcid.org/0000-0001-9171-2596"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenren Xu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023468643","display_name":"Guojie Luo","orcid":"https://orcid.org/0000-0003-4932-3655"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojie Luo","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350503","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4749-3060"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088476430","display_name":"Yunlu Liu","orcid":"https://orcid.org/0000-0002-0669-7510"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlu Liu","raw_affiliation_strings":["Alibaba Inc., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Inc., Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019304590","display_name":"Jiangwei Jiang","orcid":"https://orcid.org/0009-0009-8677-3816"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangwei Jiang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.033,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":40,"citation_normalized_percentile":{"value":0.939739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"62"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9989,"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":0.9989,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9942,"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/edge-device","display_name":"Edge device","score":0.5998494},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.53499216},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile Edge Computing","score":0.51249075},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.5110835},{"id":"https://openalex.org/keywords/reconfigurable-computing","display_name":"Reconfigurable Computing","score":0.45684302},{"id":"https://openalex.org/keywords/mobile-processor","display_name":"Mobile processor","score":0.4423029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81556046},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7194612},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.66677505},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5998494},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.55773664},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5488565},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.53499216},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5286415},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.51249075},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.5110835},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4782095},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.47278878},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4629904},{"id":"https://openalex.org/C142962650","wikidata":"https://www.wikidata.org/wiki/Q240838","display_name":"Reconfigurable computing","level":3,"score":0.45684302},{"id":"https://openalex.org/C1665295","wikidata":"https://www.wikidata.org/wiki/Q6887219","display_name":"Mobile processor","level":5,"score":0.4423029},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43500265},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42720255},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14905742},{"id":"https://openalex.org/C60952562","wikidata":"https://www.wikidata.org/wiki/Q6887246","display_name":"Mobile technology","level":3,"score":0.1370297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1257981},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.075768024},{"id":"https://openalex.org/C516764902","wikidata":"https://www.wikidata.org/wiki/Q1043805","display_name":"Mobile Web","level":4,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485850","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9,"display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W2094547360","https://openalex.org/W2094756095","https://openalex.org/W2099517310","https://openalex.org/W2101788345","https://openalex.org/W2104375961","https://openalex.org/W2112796928","https://openalex.org/W2114623221","https://openalex.org/W2121884932","https://openalex.org/W2125444986","https://openalex.org/W2133156997","https://openalex.org/W2135099885","https://openalex.org/W2154991996","https://openalex.org/W2159977093","https://openalex.org/W2163605009","https://openalex.org/W2267635276","https://openalex.org/W2508388616","https://openalex.org/W2529096783","https://openalex.org/W2565305208","https://openalex.org/W2583383421","https://openalex.org/W2585080403","https://openalex.org/W2585560244","https://openalex.org/W2627042741","https://openalex.org/W2766304518","https://openalex.org/W3097096317","https://openalex.org/W3118608800","https://openalex.org/W3210232381","https://openalex.org/W4249932213","https://openalex.org/W4256629673","https://openalex.org/W4295262505"],"related_works":["https://openalex.org/W4362496467","https://openalex.org/W4200420173","https://openalex.org/W3185499500","https://openalex.org/W3127808443","https://openalex.org/W3120617837","https://openalex.org/W3034137700","https://openalex.org/W3014317926","https://openalex.org/W2917127270","https://openalex.org/W2916011811","https://openalex.org/W2896883851"],"abstract_inverted_index":{"Recently,":[0],"Edge":[1],"Computing":[2],"has":[3],"emerged":[4],"as":[5,60],"a":[6,65,96,106],"new":[7,97],"computing":[8,99],"paradigm":[9],"dedicated":[10],"for":[11,14,52,132,150,156],"mobile":[12,116],"applications":[13,26,152],"performance":[15,67],"enhancement":[16],"and":[17,68,87,94,118,153],"energy":[18,69,154],"efficiency":[19,70],"purposes.":[20],"Specifically,":[21],"it":[22],"benefits":[23],"today's":[24],"interactive":[25,115],"on":[27,124],"power-constrained":[28],"devices":[29],"by":[30],"offloading":[31,134,166],"compute-intensive":[32,57],"tasks":[33,58],"to":[34,73,85],"the":[35,82,89,136,151,157],"edge":[36,103],"nodes":[37],"which":[38],"is":[39,49],"in":[40,55,64,160],"close":[41],"proximity.":[42],"Meanwhile,":[43],"Field":[44],"Programmable":[45],"Gate":[46],"Array":[47],"(FPGA)":[48],"well":[50],"known":[51],"its":[53,74],"excellence":[54],"accelerating":[56],"such":[59,128],"deep":[61],"learning":[62],"algorithms":[63],"high":[66],"manner":[71],"due":[72],"hardware-customizable":[75],"nature.":[76],"In":[77],"this":[78,143],"paper,":[79],"we":[80,109,139],"make":[81],"first":[83],"attempt":[84],"leverage":[86],"combine":[88],"advantages":[90],"of":[91],"these":[92],"two,":[93],"proposed":[95],"network-assisted":[98],"model,":[100],"namely":[101],"FPGA-based":[102],"computing.":[104],"As":[105],"case":[107],"study,":[108],"choose":[110],"three":[111],"computer":[112],"vision":[113],"(CV)-based":[114],"applications,":[117],"implement":[119],"their":[120],"backend":[121],"computation":[122,133],"parts":[123],"FPGA.":[125],"By":[126],"deploying":[127],"application-customized":[129],"accelerator":[130],"modules":[131],"at":[135],"network":[137],"edge,":[138],"experimentally":[140],"demonstrate":[141],"that":[142],"approach":[144],"can":[145],"effectively":[146],"reduce":[147],"response":[148],"time":[149],"consumption":[155],"entire":[158],"system":[159],"comparison":[161],"with":[162],"traditional":[163],"CPU-based":[164],"edge/cloud":[165],"approach.":[167]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2793735010","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-04-22T00:03:33.052871","created_date":"2018-03-29"}