{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214658","sets":["6504:10735:10736"]},"path":["10736"],"owner":"44499","recid":"214658","title":["負荷履歴を用いたKubernetesにおけるアダプティブスケジューリング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"e5090c1c-4516-40ae-a359-08eaf47c901e"},"_deposit":{"id":"214658","pid":{"type":"depid","value":"214658","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"負荷履歴を用いたKubernetesにおけるアダプティブスケジューリング","author_link":["551842","551843"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"負荷履歴を用いたKubernetesにおけるアダプティブスケジューリング"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"法大"},{"subitem_text_value":"法大"}]},"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/214658/files/IPSJ-Z83-7H-03.pdf","label":"IPSJ-Z83-7H-03.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-7H-03.pdf","filesize":[{"value":"976.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ece8b25b-a7e2-4c2a-8bcd-4aa575944139","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蕪木, 貴央"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 悟"}],"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":"近年、様々な分野においてコンテナによる軽量、高速な仮想化が盛んに用いられており、そのコンテナのクラスタにおけるオーケストレータとしてKubernetesがデファクトスタンダードとなっている。しかし、Kubernetesのスケジューラは、各ノードのリソースの使用状況等を瞬間的に確認してスケジューリングを行うのみである。そこで本研究では、各リソースをモニタリングし、過去の使用状況やコンテナ間の関係を考慮したスケジューリングを行うことで、各コンテナの実際の動作に基づいた、より効率的なリソースの配分を提案する。また、提案手法に基づくスケジューラの実装を用いてプライベートクラスタ上で実験を行い、その性能評価をする。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"98","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"97","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214658,"updated":"2025-01-19T16:31:44.007521+00:00","links":{},"created":"2025-01-19T01:15:27.815913+00:00"}