{"id":"https://openalex.org/W4310009563","doi":"https://doi.org/10.1109/ictc55196.2022.9952764","title":"Cost-Efficient Edge Cloud Deployment Method for Autonomous Driving","display_name":"Cost-Efficient Edge Cloud Deployment Method for Autonomous Driving","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4310009563","doi":"https://doi.org/10.1109/ictc55196.2022.9952764"},"language":"en","primary_location":{"id":"doi:10.1109/ictc55196.2022.9952764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952764","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5081119554","display_name":"Changyu Park","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Changyu Park","raw_affiliation_strings":["Korea University,Computer and Information Science,Sejong,Korea","Computer and Information Science, Korea University, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Computer and Information Science,Sejong,Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Computer and Information Science, Korea University, Sejong, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007398507","display_name":"Haneul Ko","orcid":"https://orcid.org/0000-0002-9067-445X"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haneul Ko","raw_affiliation_strings":["Kyung Hee University,Electronic Engineering,Yongin,Korea","Electronic Engineering, Kyung Hee University, Yongin, Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Electronic Engineering,Yongin,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Electronic Engineering, Kyung Hee University, Yongin, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082399620","display_name":"Yeunwoong Kyung","orcid":"https://orcid.org/0000-0002-5247-0296"},"institutions":[{"id":"https://openalex.org/I206597221","display_name":"Kongju National University","ror":"https://ror.org/0373nm262","country_code":"KR","type":"education","lineage":["https://openalex.org/I206597221"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeunwoong Kyung","raw_affiliation_strings":["Kongju National University,Information & Communication Engineering,Cheonan,Korea"],"affiliations":[{"raw_affiliation_string":"Kongju National University,Information & Communication Engineering,Cheonan,Korea","institution_ids":["https://openalex.org/I206597221"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081119554"],"corresponding_institution_ids":["https://openalex.org/I197347611","https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.2162,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34580089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"789","last_page":"792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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":0.9994000196456909,"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/T13553","display_name":"Age of Information Optimization","score":0.9937000274658203,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/software-deployment","display_name":"Software deployment","score":0.9069629907608032},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7558552622795105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488494515419006},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6571096181869507},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.594886839389801},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4668273329734802},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4444015920162201},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41026633977890015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11522328853607178},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11272621154785156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09625321626663208},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09222164750099182}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.9069629907608032},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7558552622795105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488494515419006},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6571096181869507},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.594886839389801},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4668273329734802},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4444015920162201},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41026633977890015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11522328853607178},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11272621154785156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09625321626663208},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09222164750099182}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc55196.2022.9952764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc55196.2022.9952764","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1546250219","display_name":null,"funder_award_id":"2022R1F1A1063183","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2791639158","https://openalex.org/W2809740924","https://openalex.org/W2885880184","https://openalex.org/W2894009982","https://openalex.org/W2904383881","https://openalex.org/W2925287836","https://openalex.org/W2953901595","https://openalex.org/W2963604034","https://openalex.org/W3008177173","https://openalex.org/W3109191468","https://openalex.org/W6753922375"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W2011675579"],"abstract_inverted_index":{"When":[0],"edge":[1,33,53,62,81],"clouds":[2,34,63,82],"are":[3,64],"deployed":[4,80],"at":[5,102],"all":[6,85,135],"road":[7,73],"side":[8],"unit":[9],"(RSU),":[10],"autonomous":[11],"vehicles":[12],"(AVs)":[13],"can":[14,35,123],"offload":[15],"the":[16,20,23,58,77,98,130],"tasks":[17,24],"and":[18],"receive":[19],"results":[21,119],"of":[22,32,41,61,72,79],"with":[25,129],"low":[26],"latency.":[27],"However,":[28],"too":[29],"excessive":[30],"deployment":[31,55,59,100,115,127],"lead":[36],"significant":[37],"capital":[38],"expenditure":[39],"(CAPEX)":[40],"an":[42,91],"offloading":[43,70],"service":[44],"provider.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,89,107],"propose":[50,108],"a":[51,103,109,125],"cost-efficient":[52],"cloud":[54],"method":[56],"where":[57],"locations":[60],"minimally":[65],"decided":[66],"by":[67],"considering":[68],"task":[69],"rates":[71],"segments.":[74],"To":[75],"minimize":[76],"number":[78],"while":[83,133],"supporting":[84],"generated":[86,136],"traffic":[87],"volumes,":[88],"formulate":[90],"integer":[92],"non-linear":[93],"programming":[94],"(INLP)":[95],"problem.":[96],"For":[97],"practical":[99],"even":[101],"huge":[104],"target":[105],"area,":[106],"low-complexity":[110],"heuristic":[111],"algorithm":[112,116],"called":[113],"traffic-aware":[114],"(TADA).":[117],"Evaluation":[118],"demonstrate":[120],"that":[121],"TADA":[122],"achieve":[124],"similar":[126],"cost":[128],"optimal":[131],"solution":[132],"handling":[134],"traffic.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}