{"id":235321,"updated":"2025-01-19T09:35:55.177880+00:00","links":{},"created":"2025-01-19T01:37:09.397689+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235321","sets":["1164:4088:11480:11660"]},"path":["11660"],"owner":"44499","recid":"235321","title":["データ利活用を考慮した過負荷原因DB特定方式の提案と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-12"},"_buckets":{"deposit":"5f905e06-464c-427a-a631-39fa6be91de9"},"_deposit":{"id":"235321","pid":{"type":"depid","value":"235321","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"データ利活用を考慮した過負荷原因DB特定方式の提案と評価","author_link":["642843","642842"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"データ利活用を考慮した過負荷原因DB特定方式の提案と評価"},{"subitem_title":"Proposal and evaluation of overloaded DBs identification method considering data repurposing","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-07-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社日立製作所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Hitachi Ltd.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/235321/files/IPSJ-IOT24066005.pdf","label":"IPSJ-IOT24066005.pdf"},"date":[{"dateType":"Available","dateValue":"2026-07-12"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOT24066005.pdf","filesize":[{"value":"941.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"33fe63d7-95d3-4a77-8d88-b87732a99a47","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"林, 真一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shinichi, Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12326962","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8787","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"クラウドで動作するソフトウェアデファインドストレージにおいてボトルネックになりやすいストレージデバイスへのアクセス数は，データ保護のため DB からストレージへのアクセス数と異なり，過負荷の原因となる DB を特定することが困難である．DB からストレージへのアクセス数に対するストレージデバイスへのアクセス数の割合を DB のワークロードごとに計算しておき，その割合を用いてストレージ過負荷時に DB ごとのストレージデバイスへのアクセス数を計算する方式を提案する．複数の DB を同時実行し，DB ごとのストレージデバイスへのアクセス数を推定する実験をした結果，推定値の平均絶対誤差率は 2.2% であり，DB からストレージへのアクセス数では過負荷原因 DB を特定できないが，提案方式により特定できることを明らかにした．原因に対して適切な改善を提案でき，システムを安定稼働できる見込みを得た．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The number of accesses to storage devices, which is often a bottleneck in software-defined storage running in the cloud, is different from the number of accesses from DBs to storage for data protection, and it is difficult to identify DBs that cause overloads. The ratio of the number of accesses from DB to storage to the number of accesses to storage devices is calculated for each DB workload, and I propose a method to calculate the number of accesses to storage devices for each DB at the time of storage overload using this ratio. Experimental results with multiple DBs running simultaneously show that the number of accesses from DBs to storage cannot identify the DB causing the overload, but the proposed method can. The proposed method can suggest an appropriate remedy for the cause, and I obtained the prospect that the system can be operated stably.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告インターネットと運用技術（IOT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2024-IOT-66"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}