{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00167794","sets":["6394:8432:8435"]},"path":["8435"],"owner":"13","recid":"167794","title":["計画アクティビティにおける大規模分散処理システムのシステム検証の効率化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-07-15"},"_buckets":{"deposit":"6ea9872c-d3b2-40d2-b940-4b586ef6fe41"},"_deposit":{"id":"167794","pid":{"type":"depid","value":"167794","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"計画アクティビティにおける大規模分散処理システムのシステム検証の効率化","author_link":["334828","334829"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"計画アクティビティにおける大規模分散処理システムのシステム検証の効率化"}]},"item_type_id":"21","publish_date":"2016-07-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_21_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電信電話（株）"},{"subitem_text_value":"大阪大学"}]},"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/167794/files/IPSJ-DP0703017.pdf","label":"IPSJ-DP0703017.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP0703017.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5d354615-1635-424d-a814-d805eb63d8f4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_21_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"梅田, 昌義"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鬼塚, 真"}],"nameIdentifiers":[{}]}]},"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_21_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1245124X","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-4390","subitem_source_identifier_type":"ISSN"}]},"item_21_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，ビッグデータの管理と処理を行うために，スケールアウトの容易な大規模分散処理システムの必要性が増してきている．本稿では，大規模分散処理システムの検証における3つの課題である「検証データの安定した高速登録」，「検証項目の実施時間の見積もり精度向上」，「効率的な検証マシンの割り当て」に対して，「ネットワークとディスクのI/Oのチューニング手法」，「大量にリソースを使用する項目の見積もり手法」，「数段階の検証環境の割り当て手法」の解決方法を提案する．これらの解決方法をシステムに適用することにより，事前のデータ蓄積時間を短縮し，システム検証の遅延リスクを減少させて，システム検証をスケジュールどおりに完了したプラクティスについて述べる．","subitem_description_type":"Other"}]},"item_21_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"339","bibliographic_titles":[{"bibliographic_title":"デジタルプラクティス"}],"bibliographicPageStart":"330","bibliographicIssueDates":{"bibliographicIssueDate":"2016-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"7"}]},"relation_version_is_last":true,"item_21_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"一般投稿論文"}]},"item_21_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00167760","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"13"},"id":167794,"updated":"2025-01-19T16:47:26.577113+00:00","links":{},"created":"2025-01-19T00:39:10.623549+00:00"}