{"created":"2025-01-18T22:51:31.369998+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00018918","sets":["1164:1165:1174:1175"]},"path":["1175"],"owner":"1","recid":"18918","title":["ストリームデータ処理におけるデータ生存期間管理方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-07-13"},"_buckets":{"deposit":"9424b550-53db-48e3-883e-f7f024eda3f3"},"_deposit":{"id":"18918","pid":{"type":"depid","value":"18918","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"ストリームデータ処理におけるデータ生存期間管理方式","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ストリームデータ処理におけるデータ生存期間管理方式"},{"subitem_title":"Data Lifetime Management Method in Stream Data Processing","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2006-07-13","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 中央研究所"},{"subitem_text_value":"株式会社 日立製作所 中央研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Hitachi, Ltd.,Central Research Laboratory","subitem_text_language":"en"},{"subitem_text_value":"Hitachi, Ltd.,Central Research Laboratory","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/18918/files/IPSJ-DBS06140065.pdf"},"date":[{"dateType":"Available","dateValue":"2008-07-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS06140065.pdf","filesize":[{"value":"315.5 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":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ac64de7d-a163-4338-bd8b-60a0effa5c8e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2006 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"今木, 常之"},{"creatorName":"西澤, 格"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tsuneyuki, IMAKI","creatorNameLang":"en"},{"creatorName":"Itaru, NISHIZAWA","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112482","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，RFID タグ，センサノードなどを情報源として生成される高レートのデータを，継続的にリアルタイム処理するストリームデータ処理が重要性を増している．ストリームデータ処理においては，無限に継続するデータの中から処理対象を限定するため，データに生存期間の概念が必要となる．データの生存期間を管理する方式としてはNegative Tuple 法とDirect 法が提案されており，Direct 法は処理スループットがNegative Tuple 法より優れる一方，実行可能な問合せが限定されていた．本稿では，Direct 法で実行できる処理の範囲をNegative Tuple 法と同等に広げるためのデータ生存期間管理方式を提案する．本方式によりDirect 法で実行可能となった基本クエリに対して評価実験を実施し，1.4～2.0 倍のスループット向上を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Emerging RFID technology and sensor network systems produce huge amount of data, and modern enterprise data processing systems must handle the huge amount of data in the real-time fashion. Stream data processing, which continuously processes the data in the real-time fashion, has proposed and accepted as a new data processing paradigm. Data lifetime notion is essential in the stream data processing because it requires extracting the target data from infinite data sequences using the notion. Negative Tuple Method (NT) and Direct Method (DT) have been proposed to manage the data lifetime. Although DT outperforms NT in the system throughput, it cannot be applied to some basic query processing operators due to its processing mechanism. This paper proposes a new data lifetime management method which extends DT to enable applying it to the basic query processing operators as the same as NT. Moreover, we have confirmed by experiments that our new data lifetime management method outperforms NT by 1.4-2.0 times in the system throughput.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"276","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告データベースシステム（DBS）"}],"bibliographicPageStart":"269","bibliographicIssueDates":{"bibliographicIssueDate":"2006-07-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"78(2006-DBS-140)","bibliographicVolumeNumber":"2006"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"links":{},"id":18918,"updated":"2025-01-22T22:29:58.023243+00:00"}