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  1. 学術雑誌論文
  2. 5 技術(工学)

SDN Based in-Network Two-Staged Video QoE Estimation With Measurement Error Correction for Edge Network

http://hdl.handle.net/10228/00008244
http://hdl.handle.net/10228/00008244
f796bc35-d8b4-41b1-8281-63ca578d510c
名前 / ファイル ライセンス アクション
RECN_2020-34.pdf RECN_2020-34.pdf (1.5 MB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
公開日 2021-05-12
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル SDN Based in-Network Two-Staged Video QoE Estimation With Measurement Error Correction for Edge Network
言語 en
言語
言語 eng
著者 Shimokawa, Shumpei

× Shimokawa, Shumpei

WEKO 30414

en Shimokawa, Shumpei

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Taenaka, Yuzo

× Taenaka, Yuzo

WEKO 30415

en Taenaka, Yuzo

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塚本, 和也

× 塚本, 和也

WEKO 899
e-Rad 20452823
Scopus著者ID 8237935100
九工大研究者情報 218

en Tsukamoto, Kazuya

ja 塚本, 和也

ja-Kana ツカモト, カズヤ


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Lee, Myung

× Lee, Myung

WEKO 30417

en Lee, Myung

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抄録
内容記述タイプ Abstract
内容記述 Network resource management is one of the key technologies needed to ensure that multiple applications in edge networks provide reliable and stable performance. Although throughput has previously been seen as the primary network performance metric, recent applications do not focus on throughput alone. Instead, Quality of Experience (QoE) is attracting significant attention as an indicator of network resource management performance because it allows a wide variety of applications to be compared within a single metric. In this study, we tackle QoE measurements for a video streaming service as a way to evaluate QoE-based network management. However, there are several problems related to measuring QoE. For example, in-network components are difficult to measure because QoE is normally measured at end-points, and several properties that are deeply related to application settings are required for those calculations. Additionally, the measurements set forth in the International Telecommunication Union’s ITU-T G.1071 standard require a certain duration, which is too long for network resource management evaluations. Therefore, this paper proposes a two-staged in-network QoE estimation method for video flows that can resolve these issues. In the first stage, we focus on producing a fast and rough QoE estimate to start forwarding the arriving flow onto an appropriate route as soon as possible. Next, the second stage is designed to produce precise QoE estimations based on careful long-duration measurements. In both stages, the proposed method uses a parameter estimation process that converts in-network information to end-point information for QoE calculations by following ITU-T G. 1071 and corrects measurement errors reducing QoE calculation errors to the greatest extent possible. Through experimental evaluations, we then demonstrate that the QoEs of all flows can be maximized by selecting appropriate routes based on the predicted QoE at the first stage, and that the accuracy of the QoE estimation at the second stage can be improved in real-time even when packet losses occur.
言語 en
書誌情報 en : IEEE Access

巻 9, p. 39733-39745, 発行日 2021-02-23
出版社
出版者 IEEE
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ACCESS.2021.3061488
日本十進分類法
主題Scheme NDC
主題 547
ISSN
収録物識別子タイプ EISSN
収録物識別子 2169-3536
著作権関連情報
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
キーワード
主題Scheme Other
主題 Error correction
キーワード
主題Scheme Other
主題 network measurement
キーワード
主題Scheme Other
主題 OpenFlow
キーワード
主題Scheme Other
主題 RTP
キーワード
主題Scheme Other
主題 software defined networking
キーワード
主題Scheme Other
主題 quality of experience
キーワード
主題Scheme Other
主題 video streaming
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
連携ID
値 8822
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