{"links":{},"id":224366,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00224366","sets":["581:11107:11110"]},"path":["11110"],"owner":"44499","recid":"224366","title":["事前コピーによるデータ移動不要化スケールアウト方式の提案と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-15"},"_buckets":{"deposit":"477f19da-5ede-4295-bc29-9671463dcf8b"},"_deposit":{"id":"224366","pid":{"type":"depid","value":"224366","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"事前コピーによるデータ移動不要化スケールアウト方式の提案と評価","author_link":["591445","591448","591446","591447","591449","591450"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"事前コピーによるデータ移動不要化スケールアウト方式の提案と評価"},{"subitem_title":"Proposal and Evaluation of a Scale-out Method that Does Not Require Data Transfer by Pre-copying","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集:ネットワークサービスと分散処理] ストレージ，データベース，スケールアウト，オンライン分析処理","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2023-02-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社日立製作所"},{"subitem_text_value":"株式会社日立製作所"},{"subitem_text_value":"株式会社日立製作所"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Hitachi Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Hitachi Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Hitachi Ltd.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/224366/files/IPSJ-JNL6402017.pdf","label":"IPSJ-JNL6402017.pdf"},"date":[{"dateType":"Available","dateValue":"2025-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6402017.pdf","filesize":[{"value":"1.8 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"67f86875-7ff0-4f28-9671-aedd7df387fe","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"和田, 清美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"林, 真一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金子, 聡"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kiyomi, Wada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinichi, Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Kaneko","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_publisher_15":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"パブリッククラウドのサーバとオンプレミス内ストレージで構成されるデータベースシステムにおいて，データ処理負荷に合わせて，テーブルを水平分割したDBをスケールアウトするとき，ワーカーノードへ割り当てたデータを再分散するため，スケールアウトに時間がかかる．本報告では，あらかじめ最大スケールアウト数に合わせたワーカーノードを作成し，各ワーカーノードにストレージボリュームを割り当てる．スケールアウト時に，ワーカーノードの再配置と，ワーカーノードとあらかじめコピーしたボリュームを接続することで，データ再分散不要のスケールアウト方式を提案する．オンライン分析処理（OLAP）を実行した結果，本提案方式はデータベース無停止で，5分以内にスケールアウトを完了できた．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In a database system consisting of public cloud servers and on-premises storage, when a DB with horizontally partitioned tables is scaled out according to the data processing load, scale-out takes time because the data allocated to worker nodes is redistributed. In this report, we create worker nodes in advance according to the maximum number of scale-outs and assign a storage volume to each worker node. We propose a scale-out method that does not require data redistribution by relocating worker nodes and connecting worker nodes to the pre-copied volumes during scale-out. The results of online analysis processing (OLAP) show that the proposed method can complete scale-out within 5 minutes without database outage.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"455","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"449","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"64"}]},"relation_version_is_last":true,"item_2_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00224257","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"created":"2025-01-19T01:23:57.516817+00:00","updated":"2025-01-19T13:07:31.478954+00:00"}