{"id":"https://openalex.org/W2985871595","doi":"https://doi.org/10.1109/vtcfall.2019.8891500","title":"Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem","display_name":"Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985871595","doi":"https://doi.org/10.1109/vtcfall.2019.8891500","mag":"2985871595"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2019.8891500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","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/A5044028771","display_name":"Tiago Koketsu Rodrigues","orcid":"https://orcid.org/0000-0003-0881-3818"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tiago Koketsu Rodrigues","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan","Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061349662","display_name":"Katsuya Suto","orcid":"https://orcid.org/0000-0001-5576-4735"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuya Suto","raw_affiliation_strings":["University of Electric Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electric Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013311265","display_name":"Nei Kato","orcid":"https://orcid.org/0000-0001-8769-302X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nei Kato","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan","Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.186,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57582049,"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":"1","last_page":"5"},"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/T13553","display_name":"Age of Information Optimization","score":0.9765999913215637,"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":0.9708999991416931,"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/cloud-computing","display_name":"Cloud computing","score":0.8336898684501648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8230335712432861},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.8196921348571777},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6615386009216309},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6366342306137085},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5923159122467041},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5163298845291138},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49846696853637695},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49703457951545715},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.46758365631103516},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.43119844794273376},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4116484820842743},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3912603259086609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3276750445365906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3062664270401001},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2763139605522156}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8336898684501648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230335712432861},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.8196921348571777},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6615386009216309},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6366342306137085},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5923159122467041},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5163298845291138},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49846696853637695},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49703457951545715},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.46758365631103516},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.43119844794273376},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4116484820842743},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3912603259086609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3276750445365906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3062664270401001},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2763139605522156}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2019.8891500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1973371066","https://openalex.org/W2536587200","https://openalex.org/W2564059144","https://openalex.org/W2617931713","https://openalex.org/W2619310525","https://openalex.org/W2763827256","https://openalex.org/W2768106128","https://openalex.org/W2783862629","https://openalex.org/W2786027963","https://openalex.org/W2791851645","https://openalex.org/W2883921424","https://openalex.org/W2894009982","https://openalex.org/W2904022090","https://openalex.org/W2904383881","https://openalex.org/W2908769521","https://openalex.org/W2942952821","https://openalex.org/W4249200713","https://openalex.org/W6757807173","https://openalex.org/W6761726972","https://openalex.org/W6966885943"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W3139051647","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W2968424451","https://openalex.org/W4221092438"],"abstract_inverted_index":{"Edge":[0,71],"Cloud":[1,72],"Computing":[2,73],"is":[3,20,50,75,121],"a":[4,40,76,94,131],"key":[5],"technology":[6],"for":[7,156,183],"enhancing":[8],"mobile":[9],"functionalities":[10],"and":[11,29,43,87,140],"real-time":[12],"applications":[13],"in":[14,70,144],"devices":[15,99],"with":[16,82],"limited":[17],"resources.":[18],"This":[19,102],"done":[21],"by":[22],"sharing":[23],"the":[24,33,57,83,105,122,135,145,154,168],"resources":[25],"of":[26,47,79,85,89,97,134,137,170],"edge":[27,34,58,106,146],"servers":[28,59,80],"offloading":[30],"jobs":[31],"to":[32,38,54,62,66,111,178],"cloud.":[35],"In":[36,116,126],"order":[37],"ensure":[39],"high-quality":[41],"service":[42],"more":[44],"efficient":[45],"usage":[46,136],"resources,":[48],"it":[49],"important":[51],"not":[52],"only":[53],"correctly":[55],"configure":[56,180],"but":[60],"also":[61,175],"carefully":[63],"select":[64],"where":[65],"deploy":[67],"them.":[68],"However,":[69],"there":[74,91],"high":[77],"amount":[78],"and,":[81],"advent":[84],"5G":[86],"Internet":[88],"Things,":[90],"will":[92],"be":[93],"massive":[95],"number":[96],"client":[98],"as":[100,165,167],"well.":[101],"would":[103],"make":[104],"server":[107],"deployment":[108,148],"too":[109],"complex":[110],"solve":[112],"through":[113],"convex":[114],"techniques.":[115],"this":[117,127,184],"situation,":[118],"Machine":[119],"Learning":[120],"most":[123],"appropriate":[124],"approach.":[125],"paper,":[128],"we":[129,174],"provide":[130,176],"deep":[132],"analysis":[133],"k-Means":[138],"Clustering":[139],"Particle":[141],"Swarm":[142],"Optimization":[143],"cloud":[147],"problem.":[149,186],"Our":[150],"results":[151],"show":[152],"that":[153],"hyperparameters":[155],"these":[157,181],"algorithms":[158,182],"can":[159],"significantly":[160],"impact":[161],"their":[162,171],"running":[163],"time":[164],"well":[166],"efficiency":[169],"results.":[172],"Finally,":[173],"how":[177],"best":[179],"specific":[185]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}