{"created":"2023-05-15T11:59:41.558839+00:00","id":6244,"links":{},"metadata":{"_buckets":{"deposit":"f223160c-1770-4085-a7fc-2c700c609cfc"},"_deposit":{"created_by":3,"id":"6244","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6244"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006244","sets":["15:20"]},"author_link":["25757","5853","25759"],"control_number":"6244","item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-05-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"1579","bibliographicPageStart":"1574","bibliographic_titles":[{"bibliographic_title":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"It is important to observe the statistical characteristics of global flows, which are defined as series of packets between networks, for the management and operation of the Internet. However, because the Internet is a diverse and large-scale system organized by multiple distributed authorities, it is not practical (sometimes impossible) to directly measure the precise statistical characteristics of global flows. In this paper, we consider the problem of estimating the traffic rate of every unobservable global flow between corresponding origin-destination (OD) pair (hereafter referred to as “individual-flows”) based on the measured data of aggregated traffic rates of individual flows (hereafter referred to as “aggregated-flows”), which can be easily measured at certain links (e.g., router interfaces) in a network. In order to solve the OD traffic matrix estimation problem, the prior method uses an inverse function mapping from the probability distributions of the traffic rate of aggregated-flows to those of individual-flows. However, because this inverse function method is executed recursively, the accuracy of estimation is heavily affected by the initial values of recursion and variation of the measurement data. In order to solve this issue and improve estimation accuracy, we propose a method based on a resampling of measurement data to obtain a set of solution candidates for OD traffic matrix estimation. The results of performance evaluations using a real traffic trace demonstrate that the proposed method achieves better estimation accuracy than the prior method.","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018 (APSIPA ASC 2018), 12-15 November 2018, Honolulu, Hawaii, USA","subitem_description_type":"Other"}]},"item_23_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_23_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.23919/APSIPA.2018.8659531","subitem_relation_type_select":"DOI"}}]},"item_23_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-9-8814-7685-2","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-988-14768-6-9","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-7281-0243-6","subitem_relation_type_select":"ISBN"}}]},"item_23_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_23_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2640-0103","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"2640-009X","subitem_source_identifier_type":"PISSN"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"7954"}]},"item_23_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kase,  Simon","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNames":[{"affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Tsuru, Masato","creatorNameLang":"en"},{"creatorName":"鶴, 正人","creatorNameLang":"ja"},{"creatorName":"ツル, マサト","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorNames":[{"creatorName":"Uchida,  Masato","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-11-27"}],"displaytype":"detail","filename":"RECN_2018-41.pdf","filesize":[{"value":"437.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"RECN_2018-41.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6244/files/RECN_2018-41.pdf"},"version_id":"e466db0d-c53f-4736-94bb-1b1006c3ac60"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":"Accurate OD Traffic Matrix Estimation Based on Resampling of Observed Flow Data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Accurate OD Traffic Matrix Estimation Based on Resampling of Observed Flow Data","subitem_title_language":"en"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-11-27"},"publish_date":"2019-11-27","publish_status":"0","recid":"6244","relation_version_is_last":true,"title":["Accurate OD Traffic Matrix Estimation Based on Resampling of Observed Flow Data"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-02-27T07:14:25.683141+00:00"}