{"id":"https://openalex.org/W4405937449","doi":"https://doi.org/10.23919/cnsm62983.2024.10814629","title":"Task Completion Time Prediction Scaled by Machine Learning Model Uncertainty","display_name":"Task Completion Time Prediction Scaled by Machine Learning Model Uncertainty","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4405937449","doi":"https://doi.org/10.23919/cnsm62983.2024.10814629"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm62983.2024.10814629","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm62983.2024.10814629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 20th International Conference on Network and Service Management (CNSM)","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/A5102828138","display_name":"Shinichi Kawaguchi","orcid":"https://orcid.org/0000-0002-4140-9959"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shumpei Kawaguchi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076346952","display_name":"Yuichi Ohsita","orcid":"https://orcid.org/0000-0001-9784-627X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Ohsita","raw_affiliation_strings":["Osaka University,Cybermedia Center,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Cybermedia Center,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078003898","display_name":"Masahisa Kawashima","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahisa Kawashima","raw_affiliation_strings":["Osaka University,Cybermedia Center,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Cybermedia Center,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009082300","display_name":"Hideyuki Shimonishi","orcid":"https://orcid.org/0009-0004-4364-5877"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Shimonishi","raw_affiliation_strings":["Osaka University,Cybermedia Center,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Cybermedia Center,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102828138"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.3663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65853929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.31839999556541443,"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/T12127","display_name":"Software System Performance and Reliability","score":0.31839999556541443,"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":0.7820614576339722},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7223573923110962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4959188401699066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48575761914253235},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09073591232299805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820614576339722},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7223573923110962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959188401699066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48575761914253235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09073591232299805},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm62983.2024.10814629","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm62983.2024.10814629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 20th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2559932280","https://openalex.org/W3157306683","https://openalex.org/W4378697109","https://openalex.org/W4385801304","https://openalex.org/W6798838024","https://openalex.org/W6801004768","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"We":[0],"discuss":[1],"\"GPU":[2],"Time":[3,31,161],"Sharing,\"":[4],"which":[5,120],"involves":[6],"sharing":[7],"GPU":[8,30,39,160,182],"servers":[9],"locally":[10],"owned":[11],"in":[12,79,175],"the":[13,23,29,54,63,75,80,85,88,123,127,133,141,146,150,155,159,176,181,186],"private":[14],"cloud":[15,26],"to":[16,21,47,72,158,193],"increase":[17],"their":[18],"usage":[19,183],"and":[20,36,138,180],"reduce":[22],"costs":[24],"of":[25,45,126,149],"services.":[27],"In":[28,62,101],"Sharing,":[32],"users":[33],"can":[34],"reserve":[35],"use":[37],"a":[38,42,49,60,106],"server":[40],"for":[41,97,163],"certain":[43],"period":[44],"time":[46,67,90,109,125,143,179,184,188],"complete":[48],"task,":[50],"such":[51],"as":[52,93,95],"training":[53],"AI":[55],"model":[56],"or":[57],"inference":[58],"on":[59,145],"video.":[61],"reservation,":[64],"task":[65,76,107],"completion":[66,108,124,178],"must":[68],"be":[69,92],"predicted":[70,142,177],"conservatively":[71],"ensure":[73],"that":[74,170],"is":[77,189],"completed":[78,174],"reserved":[81,89,187],"time,":[82,87],"but":[83],"at":[84],"same":[86],"should":[91],"short":[94],"possible":[96],"efficient":[98],"resource":[99],"sharing.":[100],"this":[102],"paper,":[103],"we":[104,167],"propose":[105],"prediction":[110],"method":[111,157],"called":[112],"\"Uncertainty":[113],"Scaled":[114],"Gradient":[115,134],"Boosting":[116,135],"Decision":[117,136],"Tree\"":[118],"(USGBDT),":[119],"first":[121],"predicts":[122],"Deep":[128],"Learning":[129],"(DL)":[130],"tasks":[131,172],"using":[132],"Tree,":[137],"then":[139],"scales":[140],"based":[144],"expected":[147],"uncertainty":[148],"machine":[151],"learning":[152],"models.":[153],"Applying":[154],"proposed":[156],"Sharing":[162],"video":[164],"analysis":[165],"tasks,":[166],"have":[168],"confirmed":[169],"all":[171],"are":[173],"over":[185],"improved":[190],"from":[191],"53.4%":[192],"67.0%.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
