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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/111904
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111904

    Title: QoN-oriented resilient bandwidth allocation for medical content services in software-defined hospital networks
    Authors: 郭耀煌
    Chin, Hsuan-Hsuan
    Lo, Chun-Chih
    Wu, Pei-Yu
    Horng, Mong-Fong
    Kuo, Yau-Hwang
    Contributors: 資訊科學系
    Keywords: Computer software;Frequency allocation;Hospitals;Intelligent control;Intelligent systems;Medical applications;Network management;Telecommunication networks;Band-width utilization;Bandwidth reservation;Emerging architectures;Hospital networks;Network requirements;Networking environment;Performance degradation;Software-defined networks;Bandwidth
    Date: 2015
    Issue Date: 2017-08-10 15:16:52 (UTC+8)
    Abstract: With the wide range of applications and the large amount of network traffics, issues such as network congestions, performance degradation, network disconnections and insufficient bandwidth decrease the quality of medical applications and the perception of users. Software-Defined Network (SDN) is an emerging architecture that subverts the traditional network control and provides more flexibility in the network management. However, traditional SDN cannot cope well with medical media services and unexpected urgent network requirements in hospital which are different from general network environment. In addition, standard SDN did not consider differentiated user and service level classifications that may be used to provide different medical media service levels for different staffs in hospital networking environments and current bandwidth provision models did not fully utilize the bandwidth within the network due to bandwidth reservation policies. Therefore, this paper proposes a Software-Defined Hospital Network (SDHN) that evolves from SDN to renovate hospital networking environments. It differentiates user and service levels to highlight the ownership of bandwidth, to improve bandwidth utilization and enhance network efficiency using QoN-oriented resilient bandwidth allocation. Therefore, medical applications can be served according to user and service level classifications to ensure the network performance and user perception on network quality. © 2015 The authors and IOS Press. All rights reserved.
    Relation: Frontiers in Artificial Intelligence and Applications, 274, 593-602
    International Computer Symposium, ICS 2014; Taichung; Taiwan; 12 December 2014 到 14 December 2014; 代碼 111725
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.3233/978-1-61499-484-8-593
    DOI: 10.3233/978-1-61499-484-8-593
    Appears in Collections:[資訊科學系] 會議論文

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