{"created":"2025-01-19T01:28:54.743930+00:00","updated":"2025-01-19T11:28:47.677593+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229637","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229637","title":["クラウドサービス最適化における強化学習的手法と遺伝的アルゴリズムの比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"9f9f77c5-e869-4d75-a856-ad18f94d00f2"},"_deposit":{"id":"229637","pid":{"type":"depid","value":"229637","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"クラウドサービス最適化における強化学習的手法と遺伝的アルゴリズムの比較","author_link":["617694","617695"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クラウドサービス最適化における強化学習的手法と遺伝的アルゴリズムの比較"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","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":"北見工大"},{"subitem_text_value":"北見工大"}]},"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/229637/files/IPSJ-Z85-5K-07.pdf","label":"IPSJ-Z85-5K-07.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5K-07.pdf","filesize":[{"value":"473.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"63408e31-f803-4142-b271-0070b91876c1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小田桐, 彩人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"升井, 洋志"}],"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":"我々はこれまでクラウドサービスを統合して共同研究環境を提供するための枠組みである「統合研究管理基盤システム(URMS)」を提唱しており、その中の重要な機能として研究者の要求に応じたサービスの最適な組み合わせと提供の手法を検討している。本発表では、ストレージの組合せ最適化を例として取り上げ、速度やコスト、信頼差性の違う４種類のストレージサービスを研究者の要求の変化に対して最適な組み合わせを実現するアルゴリズムを検証する。最適化に対する数値計算として、遺伝的アルゴリズムと強化学習という２種類のアプローチを用い、コストや信頼性を最適化の指標として選んだ際の両者の比較を行い、適応性を議論する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"216","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"215","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229637,"links":{}}