{"created":"2025-01-19T01:15:35.153490+00:00","updated":"2025-01-19T16:28:03.913693+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214788","sets":["6504:10735:10806"]},"path":["10806"],"owner":"44499","recid":"214788","title":["並列分散処理における空間データパーティショニング手法の比較と分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"0963b0d2-5682-4c6a-9749-89a9ffad0bc5"},"_deposit":{"id":"214788","pid":{"type":"depid","value":"214788","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"並列分散処理における空間データパーティショニング手法の比較と分析","author_link":["552211","552213","552212","552210"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"並列分散処理における空間データパーティショニング手法の比較と分析"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データとウェブ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"}]},"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/214788/files/IPSJ-Z83-5L-03.pdf","label":"IPSJ-Z83-5L-03.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5L-03.pdf","filesize":[{"value":"208.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"0cc12647-a2a5-4950-a234-a89d1559b043","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"堀, 敬三"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 勇和"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"天方, 大地"}],"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_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"時々刻々と生成される膨大な空間データに対する高速な分析処理のために，空間データ分析に特化した並列分散処理フレームワークが開発されている．データパーティショニング技術は，並列分散処理におけるクエリの実行時間に大きく影響するため様々な手法が提案されている．しかし，データ分布やクエリワークロードに応じて適切なパーティショニング手法が異なるため，最適な手法を選択することは困難である．そこで，本稿では複数のデータセットやクエリワークロードを用いて，空間データパーティショニング手法を比較し，既存手法の有効性を明らかにする．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"366","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"365","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214788,"links":{}}