{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221287","sets":["6504:11035:11042"]},"path":["11042"],"owner":"44499","recid":"221287","title":["Neural Architecture Searchを取り入れた時系列予測モデル運用手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"bd2a240e-eb5e-488b-b05a-fc457b99893a"},"_deposit":{"id":"221287","pid":{"type":"depid","value":"221287","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Neural Architecture Searchを取り入れた時系列予測モデル運用手法の検討","author_link":["579271","579270","579269"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Neural Architecture Searchを取り入れた時系列予測モデル運用手法の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2022-02-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"お茶の水女子大"},{"subitem_text_value":"富士通"},{"subitem_text_value":"お茶の水女子大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/221287/files/IPSJ-Z84-1ZA-01.pdf","label":"IPSJ-Z84-1ZA-01.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-1ZA-01.pdf","filesize":[{"value":"566.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"b9ad62e1-0f29-45ea-8af8-88f91d8ba2d2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高橋, 佑里子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田宮, 豊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口, 正人"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"仮想環境を用いたクラウドサービスにおいて、CPU資源のオーバーコミットに由来する仮想マシン（VM）の性能低下を防ぐことを目的として、VMのCPU使用率を予測し制御を行う技術が知られている。VMとそこで実行されるアプリケーションは変化していくため、変化に合わせて予測モデルを継続的に学習・更新することで予測精度を担保することが望ましい。しかし、従来は学習させるデータを変えるのみで、予測モデルの構造を変えることはなかった。そこで本研究は、Neural Architecture Searchを取り入れることで、VMの状態変化に応じて予測モデルの構造を変化させながら予測モデルを運用する手法の検討を行う。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"230","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"229","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:17.679616+00:00","updated":"2025-01-19T14:13:21.002602+00:00","id":221287}