{"created":"2025-01-18T23:48:55.390199+00:00","updated":"2025-01-21T10:04:11.014227+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00104967","sets":["6164:6165:6640:7689"]},"path":["7689"],"owner":"11","recid":"104967","title":["複数キーで関連付けられたデータの素集合生成における分散・並列処理の利用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-07-02"},"_buckets":{"deposit":"ecbc7392-48da-4fe0-9bfd-6a6b08cdfe87"},"_deposit":{"id":"104967","pid":{"type":"depid","value":"104967","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"複数キーで関連付けられたデータの素集合生成における分散・並列処理の利用","author_link":["6159"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数キーで関連付けられたデータの素集合生成における分散・並列処理の利用"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"分散処理, 分散処理","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2014-07-02","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富士通研究所"}]},"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/104967/files/IPSJ-DICOMO2014097.pdf"},"date":[{"dateType":"Available","dateValue":"2014-07-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2014097.pdf","filesize":[{"value":"1.0 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":"dc278c27-5bb5-46ff-a5f7-f058f34b38b6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中里克久"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"MapReduceは，元々インターネット上のパブリック・サービスなどで蓄積される巨大なデータを対象とした処理を，分散・並列処理を用いて高速化するための技術である．しかし，企業内業務データなど，数GB～数百MB程度のデータを対象にした場合でも，MapReduceによる処理が適する場合がある．本稿では，処理対象のデータの中で，何らかの関連のあるデータ群を重複が無いようにグループ化する，すなわち素集合を生成する処理を，MapReduceを用いて効率的に行う方式について述べる．また，本方式を実装したプログラムと，テストデータを用いた性能検証から，同環境における従来方式でのMapReduce適用の場合と比較し，約3.15倍の性能改善が確認できた．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"702","bibliographic_titles":[{"bibliographic_title":"マルチメディア、分散協調とモバイルシンポジウム2014論文集"}],"bibliographicPageStart":"692","bibliographicIssueDates":{"bibliographicIssueDate":"2014-07-02","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":104967,"links":{}}