{"id":"https://openalex.org/W4285293866","doi":"https://doi.org/10.1109/tnsm.2022.3174776","title":"Selective Edge Computing for Mobile Analytics","display_name":"Selective Edge Computing for Mobile Analytics","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4285293866","doi":"https://doi.org/10.1109/tnsm.2022.3174776"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2022.3174776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2022.3174776","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5085933033","display_name":"Apostolos Galanopoulos","orcid":"https://orcid.org/0000-0002-3359-1922"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Apostolos Galanopoulos","raw_affiliation_strings":["Genesys, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Genesys, Galway, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044138533","display_name":"George Iosifidis","orcid":"https://orcid.org/0000-0003-1001-2323"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"George Iosifidis","raw_affiliation_strings":["Software Technology Department, Delft University of Technology, AA Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Software Technology Department, Delft University of Technology, AA Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002314395","display_name":"Theodoros Salonidis","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodoros Salonidis","raw_affiliation_strings":["Automated Machine Learning and Data Science (AMLDS), IBM T. J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"Automated Machine Learning and Data Science (AMLDS), IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086446911","display_name":"Douglas J. Leith","orcid":"https://orcid.org/0000-0003-4056-4014"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Douglas J. Leith","raw_affiliation_strings":["School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085933033"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8545,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74394383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"19","issue":"3","first_page":"3090","last_page":"3104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.991599977016449,"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/T13553","display_name":"Age of Information Optimization","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9022314548492432},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7499734163284302},{"id":"https://openalex.org/keywords/cloudlet","display_name":"Cloudlet","score":0.727449357509613},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7165029048919678},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6749261021614075},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5691827535629272},{"id":"https://openalex.org/keywords/mobile-cloud-computing","display_name":"Mobile cloud computing","score":0.5652024149894714},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5133389830589294},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5013256072998047},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.49363672733306885},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4766053557395935},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4722261428833008},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.41703522205352783},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25491833686828613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.166828453540802},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15500327944755554},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14473384618759155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9022314548492432},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7499734163284302},{"id":"https://openalex.org/C2781055072","wikidata":"https://www.wikidata.org/wiki/Q25325266","display_name":"Cloudlet","level":3,"score":0.727449357509613},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7165029048919678},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6749261021614075},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5691827535629272},{"id":"https://openalex.org/C2779191767","wikidata":"https://www.wikidata.org/wiki/Q6887075","display_name":"Mobile cloud computing","level":3,"score":0.5652024149894714},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5133389830589294},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5013256072998047},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.49363672733306885},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4766053557395935},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4722261428833008},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.41703522205352783},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25491833686828613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.166828453540802},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15500327944755554},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14473384618759155}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnsm.2022.3174776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2022.3174776","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"},{"id":"pmh:oai:tudelft.nl:uuid:c4aa2140-b9f3-474c-bee6-1e0415d9afc2","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:c4aa2140-b9f3-474c-bee6-1e0415d9afc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2406092791","display_name":null,"funder_award_id":"101017109","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1963529497","https://openalex.org/W1967292465","https://openalex.org/W2023380813","https://openalex.org/W2029016069","https://openalex.org/W2038007012","https://openalex.org/W2072888046","https://openalex.org/W2112796928","https://openalex.org/W2122011919","https://openalex.org/W2130695501","https://openalex.org/W2135099885","https://openalex.org/W2149192560","https://openalex.org/W2157172936","https://openalex.org/W2159977093","https://openalex.org/W2165715302","https://openalex.org/W2194775991","https://openalex.org/W2195423816","https://openalex.org/W2468875367","https://openalex.org/W2475559389","https://openalex.org/W2583037806","https://openalex.org/W2624989916","https://openalex.org/W2734855181","https://openalex.org/W2734909543","https://openalex.org/W2736071714","https://openalex.org/W2736305332","https://openalex.org/W2742405391","https://openalex.org/W2766304518","https://openalex.org/W2768646057","https://openalex.org/W2773258530","https://openalex.org/W2782955024","https://openalex.org/W2792220137","https://openalex.org/W2797477167","https://openalex.org/W2883140778","https://openalex.org/W2883483737","https://openalex.org/W2920700677","https://openalex.org/W2953384591","https://openalex.org/W2962883027","https://openalex.org/W2963953081","https://openalex.org/W2981657066","https://openalex.org/W3045621297","https://openalex.org/W3081076929","https://openalex.org/W3086007304","https://openalex.org/W3096558584","https://openalex.org/W3118608800","https://openalex.org/W3153004963","https://openalex.org/W3156233896","https://openalex.org/W3193767470","https://openalex.org/W3198227059","https://openalex.org/W4225664736","https://openalex.org/W4233413206","https://openalex.org/W4236853429","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4297972233","https://openalex.org/W6683485283","https://openalex.org/W6687483927","https://openalex.org/W6713134421","https://openalex.org/W6720815106","https://openalex.org/W6737664043","https://openalex.org/W6746361056","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4387134114","https://openalex.org/W3175669490","https://openalex.org/W1900977350","https://openalex.org/W2918736073","https://openalex.org/W4249240754","https://openalex.org/W2401329654","https://openalex.org/W3184388372","https://openalex.org/W2512560369","https://openalex.org/W2318393221","https://openalex.org/W4207020266"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,67],"mobile":[4],"applications":[5],"rely":[6],"on":[7,26,136],"Machine":[8],"Learning":[9],"(ML)":[10],"routines":[11,52],"for":[12],"analyzing":[13],"data.":[14],"Executing":[15],"such":[16,58],"tasks":[17,86],"at":[18,33],"the":[19,23,44,49,65,104,108,124,153,159],"user":[20],"devices":[21,45,83],"saves":[22],"energy":[24],"spent":[25],"transmitting":[27],"and":[28,41,53,75,88,111,116,147,166,180],"processing":[29],"large":[30],"data":[31],"volumes":[32],"distant":[34],"cloud-deployed":[35],"servers.":[36],"However,":[37],"due":[38],"to":[39,55,91,129],"memory":[40],"computing":[42],"limitations,":[43],"often":[46],"cannot":[47],"support":[48],"required":[50],"resource-intensive":[51],"fail":[54],"accurately":[56],"execute":[57,84],"tasks.":[59],"In":[60],"this":[61,131],"work,":[62],"we":[63],"address":[64],"problem":[66],"edge-assisted":[68],"analytics":[69],"in":[70,162],"resource-constrained":[71],"systems":[72],"by":[73],"proposing":[74],"evaluating":[76],"a":[77,98,144,163,171],"rigorous":[78],"selective":[79],"offloading":[80,109],"framework.":[81],"The":[82],"their":[85],"locally":[87],"outsource":[89],"them":[90],"cloudlet":[92],"servers":[93],"only":[94],"when":[95],"they":[96],"predict":[97],"significant":[99,177],"performance":[100,126,169,178],"improvement.":[101],"We":[102,156],"consider":[103],"practical":[105],"scenario":[106],"where":[107],"gains":[110,179],"resource":[112],"costs":[113],"are":[114],"time-varying;":[115],"propose":[117],"an":[118,137],"online":[119],"optimization":[120],"algorithm":[121,161],"that":[122],"maximizes":[123],"service":[125],"without":[127],"requiring":[128],"know":[130],"information.":[132],"Our":[133],"approach":[134],"relies":[135],"approximate":[138],"dual":[139],"subgradient":[140],"method":[141],"combined":[142],"with":[143],"primal-averaging":[145],"scheme,":[146],"works":[148],"under":[149],"minimal":[150],"assumptions":[151],"about":[152],"system":[154],"stochasticity.":[155],"fully":[157],"implement":[158],"proposed":[160],"wireless":[164],"testbed":[165],"evaluate":[167],"its":[168],"using":[170],"state-of-the-art":[172],"image":[173],"recognition":[174],"application,":[175],"finding":[176],"cost":[181],"savings.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}