{"updated":"2025-01-19T17:11:03.834230+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213373","sets":["6164:6165:7006:10727"]},"path":["10727"],"owner":"44499","recid":"213373","title":["負荷テストによるKubernetes Pod構成のCPUとメモリ値の自動設定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-18"},"_buckets":{"deposit":"ffdc7a13-ac1d-4378-8703-f060237b5f14"},"_deposit":{"id":"213373","pid":{"type":"depid","value":"213373","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"負荷テストによるKubernetes Pod構成のCPUとメモリ値の自動設定","author_link":["545867","545868"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"負荷テストによるKubernetes Pod構成のCPUとメモリ値の自動設定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Kubernetes","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-10-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工科大学大学院バイオ・情報メディア研究科コンピュータサイエンス専攻"},{"subitem_text_value":"東京工科大学大学院バイオ・情報メディア研究科コンピュータサイエンス専攻"}]},"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/213373/files/IPSJ-DPSWS2021020.pdf","label":"IPSJ-DPSWS2021020.pdf"},"date":[{"dateType":"Available","dateValue":"2023-10-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPSWS2021020.pdf","filesize":[{"value":"2.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"34"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8d2e0b5c-f864-4251-87b4-c18bfc7f8e21","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"伊藤, 佳城"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"串田, 高幸"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Kubernetes (K8s) は，Pod の CPU とメモリの使用量を設定することで，Pod の実行に必要な CPU とメモリを確保することが可能である．しかし，CPU とメモリの使用量の値を決めるためには実行する Pod 内のアプリケーションに対するテストシナリオを作成し，測定を行い値を決める．しかし，測定した値の決定はユーザの経験則に依存する．本研究の提案は，K8s 上にデプロイした Pod へ負荷を与え，CPU とメモリの使用量を取得し，これらの値をもとに limits の設定値を自動的に算出する事である．実験は，WordPress の Pod に対して HTTP リクエストを送信し，その際の CPU とメモリの使用量の最大値を limits に設定し，そこから CPU とメモリの limits を 1% ずつ減少させ最小値を決定する．本提案によって設定なしの場合と比較し，結果として HTTP リクエスト数が 40 (req/s) の時，最大で 144 (ms) 削減でき，設定を行うことによる応答時間の短縮させることが可能となった．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"154","bibliographic_titles":[{"bibliographic_title":"第29回マルチメディア通信と分散処理ワークショップ論文集"}],"bibliographicPageStart":"147","bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-18","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:14:15.343523+00:00","id":213373,"links":{}}