{"created":"2023-05-15T12:00:05.124872+00:00","id":6762,"links":{},"metadata":{"_buckets":{"deposit":"6aae7f69-f36b-4863-8686-85ca85d19849"},"_deposit":{"created_by":3,"id":"6762","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6762"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006762","sets":["15:20"]},"author_link":["28527","28528","899"],"control_number":"6762","item_1694584486188":{"attribute_name":"CRID","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://cir.nii.ac.jp/crid/1050855522064905728","subitem_relation_type_select":"URI"}}]},"item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"383","bibliographicPageEnd":"84","bibliographicPageStart":"79","bibliographicVolumeNumber":"119","bibliographic_titles":[{"bibliographic_title":"電子情報通信学会技術研究報告. NS, ネットワークシステム","bibliographic_titleLang":"ja"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"これまでにアプリケーションのQoEを指標とした無線ネットワーク資源の有効利用に取り組んでいる. QoEを用いることにより複数の異なるアプリケーションが同一ネットワーク上で共存した場合でも, それぞれの品質を同じ基準で評価できるため, 一部のアプリケーションによる資源占有を避けて効率的な利用が可能となる. 本研究は, 転送アプリケーションフローのQoEを推定するために, ネットワーク内で得られるOpenFlowの統計情報を用いる. 先行研究では, パケットロス率が動画通信のQoEに大きく影響を与えることを示し, パケットロス率の測定誤差を補正するQoE推定手法を提案した. 一方, パケットロス環境では測定誤差の補正が十分でなく, QoE推定精度は劣化した. そこで本研究では, OpenFlowの誤差特性に基づいたパケットロス率の測定誤差を補正する新しいQoE推定手法を提案する. 実機実験を通じて提案手法がパケットロス環境においてQoEを正しく推定できる事を示した.","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"Toward efficient resource utilization, we have been tackling a SDN-enabled flow control considering application QoE. QoE helps us to handle application flows with the same basis even multiple different applications coexist on network. In this study, we estimate QoE of video streaming application based on the statistical information obtained from OpenFlow. The previous study showed that the packet loss rate is a key factor to estimate QoE on video streaming application, and proposed QoE estimation method which corrected measurement errors of OpenFlow. On the other hand, since the estimation accuracy of the previous method becomes worse in case of packet losses happening, in this study, we propose an improved QoE estimation method for video streaming that can distinguish between measurement errors and packet losses by exploiting the trend of occurrence in measurement errors. Through experiments, we showed that our proposed method can provide an QoE estimation even under the packet loss environments.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"電子情報通信学会 ネットワークシステム研究会（NS）, 2020年1月23日-24日, 沖縄県石垣市, 日本","subitem_description_type":"Other"}]},"item_23_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会","subitem_publisher_language":"ja"}]},"item_23_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2020 by IEICE"}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"no"}]},"item_23_source_id_10":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AA11546431","subitem_source_identifier_type":"NCID"}]},"item_23_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-6380","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"0913-5685","subitem_source_identifier_type":"PISSN"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8489"}]},"item_23_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"下川, 駿平","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"妙中, 雄三","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNames":[{"affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Tsukamoto, Kazuya","creatorNameLang":"en"},{"creatorName":"塚本, 和也","creatorNameLang":"ja"},{"creatorName":"ツカモト, カズヤ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-11-13"}],"displaytype":"detail","filename":"RECN_2019-17.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"RECN_2019-17.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6762/files/RECN_2019-17.pdf"},"version_id":"043a4c51-0b5d-45dd-b25d-6ffed2af6c0a"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"QoE推定","subitem_subject_scheme":"Other"},{"subitem_subject":"動画通信","subitem_subject_scheme":"Other"},{"subitem_subject":"実験評価","subitem_subject_scheme":"Other"},{"subitem_subject":"OpenFlow","subitem_subject_scheme":"Other"},{"subitem_subject":"QoE estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"Video streaming","subitem_subject_scheme":"Other"},{"subitem_subject":"Experiment","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"OpenFlow統計情報の誤差特性を活用したIn-network動画QoE推定手法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"OpenFlow統計情報の誤差特性を活用したIn-network動画QoE推定手法","subitem_title_language":"ja"},{"subitem_title":"In-network video QoE estimation method exploiting error characteristics of OpenFlow statistics","subitem_title_language":"en"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-13"},"publish_date":"2020-11-13","publish_status":"0","recid":"6762","relation_version_is_last":true,"title":["OpenFlow統計情報の誤差特性を活用したIn-network動画QoE推定手法"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-01-17T02:58:56.657694+00:00"}