{"links":{},"id":105695,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00105695","sets":["6504:7684:7692"]},"path":["7692"],"owner":"6748","recid":"105695","title":["Cassandraを用いた並列分散処理機構の開発とHadoop Cassandraとの比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-03-11"},"_buckets":{"deposit":"cfc0579e-18cc-4fa8-b6ad-a0ea9de6ee47"},"_deposit":{"id":"105695","pid":{"type":"depid","value":"105695","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Cassandraを用いた並列分散処理機構の開発とHadoop Cassandraとの比較","author_link":["8608","8607","8609","8606"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Cassandraを用いた並列分散処理機構の開発とHadoop Cassandraとの比較"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2014-03-11","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":"お茶の水女子大"},{"subitem_text_value":"産総研"},{"subitem_text_value":"産総研"},{"subitem_text_value":"お茶の水女子大"}]},"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/105695/files/IPSJ-Z76-5X-5.pdf"},"date":[{"dateType":"Available","dateValue":"2014-10-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z76-5X-5.pdf","filesize":[{"value":"287.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"78dd7326-542a-4897-b41e-193296c76976","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"菱沼直子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹房あつ子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中田秀基"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口正人"}],"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":"近年，大量のデータを高速に処理することが必要な場面が増え，分散KVS が注目され始めた．分散KVSを用いると，RDBMSでは管理が困難な大容量データを分散環境で管理することができる．分散KVSで管理されている大容量データを高速に処理するには，データを複数の計算機で並列に処理する必要がある．しかしながら，分散KVSから対象データを取り出した後，再度データを分散させて並列処理を行うと，データの転送遅延により処理効率が悪くなってしまう．我々は，大容量データを扱う分散KVSであるApache Cassandraに着目し，大容量データをより高速に処理するために，データアフィニティを考慮した並列分散処理を提案し，実装している．本稿では，本実装の特性を明確にするため、提案手法とApache Cassandraの Hadoop連携機能との性能比較を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"422","bibliographic_titles":[{"bibliographic_title":"第76回全国大会講演論文集"}],"bibliographicPageStart":"421","bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-18T23:49:30.974594+00:00","updated":"2025-01-21T09:50:24.425986+00:00"}