{"created":"2025-01-18T23:11:51.918620+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00046067","sets":["1164:4088:4122:4047"]},"path":["4047"],"owner":"1","recid":"46067","title":["汎用観測データを用いたユーザレスポンス予測のための性能モデル作成手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2004-11-04"},"_buckets":{"deposit":"dfac9e23-1615-4e34-aba7-602903aea2aa"},"_deposit":{"id":"46067","pid":{"type":"depid","value":"46067","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"汎用観測データを用いたユーザレスポンス予測のための性能モデル作成手法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"汎用観測データを用いたユーザレスポンス予測のための性能モデル作成手法"},{"subitem_title":"A Server System Modeling Method for Predicting Detailed User Action Response Time with General Measured Data","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2004-11-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富士通研究所"},{"subitem_text_value":"富士通研究所"},{"subitem_text_value":"富士通研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"FUJITSU LABORATORIES LTD.","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LTD.","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES 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/46067/files/IPSJ-EVA04011002.pdf"},"date":[{"dateType":"Available","dateValue":"2006-11-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EVA04011002.pdf","filesize":[{"value":"848.1 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":"5e2aa009-3e90-41f5-a61b-20d442b3153d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2004 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大河原, 英喜"},{"creatorName":"河場, 基行"},{"creatorName":"西川, 克彦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hideki, Okawara","creatorNameLang":"en"},{"creatorName":"Motoyuki, Kawaba","creatorNameLang":"en"},{"creatorName":"Katsuhiko, Nishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11583959","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，ITシステム全体の性能予測を行うためのシミュレーション技術が注目されている．高精度の性能予測を行うためには，適切なワークロードの定義が重要であり，運用環境やテスト環境における観測データから，サーバ間のトラフィックフローや必要サーバ資源情報を抽出する必要がある．本論文では，sar等のサンプリング情報に加えてtcpdump等のトラフィックデータも用いることで細かいユーザアクション毎の必要CPU資源情報を抽出して，詳細なワークロード定義を行う手法について検討を行った．定義したワークロードモデルの精度検証を行った結果，ユーザアクション毎の平均レスポンスタイムが実測に対して10?%程度の誤差で得られた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Prediction of IT system performance is a common theme and simulation methods have been studied. For high-accurate evaluation it is significant to define appropriate workload, traffic flow between servers and required server resources. This paper describes our study to analyze generally measured data and extract required CPU resource for each detailed user actions. We analyze both CPU sampling data(sar) and traffic flow data(tcpdump) measured on real system or test system. We define WEB application workload model including 6 user actions and compare simulation results with measured each user action response time.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"12","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告システム評価（EVA）"}],"bibliographicPageStart":"7","bibliographicIssueDates":{"bibliographicIssueDate":"2004-11-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"106(2004-EVA-011)","bibliographicVolumeNumber":"2004"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":46067,"updated":"2025-01-22T09:40:06.856900+00:00","links":{}}