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    题名: 負載平衡與服務品質要求之探討
    The Research of Load Balancing and Quality of Service：The Case of iPalace Channel
    作者: 顏照銓
    Yen, Chao Chuan
    贡献者: 蔡瑞煌
    Tsaih, Rua Huan
    顏照銓
    Yen, Chao Chuan
    关键词: 負載平衡
    服務品質要求
    視訊隨選串流
    以TCP為基礎的影音串流
    Load Balancing
    Quality of Service
    Video-on-demand Streaming
    TCP-based Video Streaming
    日期: 2016
    上传时间: 2016-08-02 16:01:50 (UTC+8)
    摘要: Video-on-demand streaming從90年代就在適當的科技下成為網際網路流量的龍頭，故宮教育頻道在技術上採用TCP-based video streaming，但Video streaming使得負載較一般的伺服器繁重。透過負載平衡來分散負載是可行的方式之一，但在TCP-based video streaming的技術下，還是可能遭遇服務品質之相關議題。而服務品質要求 (Quality of Service, QoS)是用來對使用者適配的服務品質表現，做具體之等級劃分的管理工具，本研究以故宮教育頻道 (iPalace Video Channel; iPalace)為標的，針對其DNS Load Balancing搭配Round Robin的運作背景，提出VM Side QoS及Client Side QoS，在VM Side設定Load rate作為指標、在Client Side則以撥放器的表現為主，設定Initial Buffering Time、Mean Rebuffering Duration以及Rebuffering Frequency共三個指標，並搭配流量的實驗操作，劃分Regular及Class情境來蒐集資料。
    在分析後發現，在環境較為一致的Class情境中，Mean Rebuffering Duration與Load Rate及Rebuffering Frequency與Load Rate具有低度正相關。未來，若能在環境及客戶端的變異性有較多的控制及掌握，則可讓資料在蒐集上更為正確，讓後續的分析及探討與實際狀況更為相符。
    參考文獻: 1. Alrifai, M., Skoutas, D., & Risse, T. (2010). Selecting skyline services for QoS-based web service composition. In Proceedings of the 19th international conference on World wide web (pp. 11-20). ACM.
    2. Austerberry, D., & Starks, G. (2002). Technology of Video and Audio Streaming.
    3. Bobroff, N., Kochut, A., & Beaty, K. (2007). Dynamic placement of virtual machines for managing sla violations. In Integrated Network Management, 2007. IM`07. 10th IFIP/IEEE International Symposium on (pp. 119-128). IEEE.
    4. Chang, Y. C., Chang, C. J., Chen, K. T., & Lei, C. L. (2010). Radar chart: Scanning for high QoE in QoS dimensions. In Communications Quality and Reliability (CQR), 2010 IEEE International Workshop Technical Committee on (pp. 1-6). IEEE.
    5. Conklin, G. J., Greenbaum, G. S., Lillevold, K. O., Lippman, A. F., & Reznik, Y. A. (2000). Video coding for streaming media delivery on the Internet. Circuits and Systems for Video Technology, IEEE Transactions on, 11(3), 269-281.
    6. Dupagne, M., Stacks, D. W., & Giroux, V. M. (2007). Effects of video streaming technology on public speaking students` communication apprehension and competence. Journal of Educational Technology Systems, 35(4), 479-490.
    7. Follansbee, J. (2004). Get Streaming!: Quick Steps to Delivering Audio and Video Online. Taylor & Francis.
    8. Gupta, P., Goyal, M. K., & Gupta, N. (2015). Reliability Aware Load Balancing Algorithm for Content Delivery Network. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 (pp. 427-434). Springer International Publishing.
    9. Hoßfeld, T., Seufert, M., Hirth, M., Zinner, T., Tran-Gia, P., & Schatz, R. (2011). Quantification of YouTube QoE via crowdsourcing. In Multimedia (ISM), 2011 IEEE International Symposium on (pp. 494-499). IEEE.
    10. ITU, T. (1994). Terms and definitions related to quality of service and network performance including dependability. Recommendation E, 800.
    11. Kalyvianaki, E. (2009). Resource provisioning for virtualized server applications (Doctoral dissertation, University of Cambridge).
    12. Kanuparthy, P., Matthews, W., & Dovrolis, C. (2012). DNS-based Ingress Load Balancing: An Experimental Evaluation. arXiv preprint arXiv:1205.0820.
    13. Karki, R., Seenivasan, T., Claypool, M., & Kinicki, R. (2010). Performance analysis of home streaming video using Orb. In Proceedings of the 20th international workshop on Network and operating systems support for digital audio and video (pp. 111-116). ACM.
    14. Karki, R., Seenivasan, T., Claypool, M., & Kinicki, R. (2010). Performance analysis of home streaming video using Orb. In Proceedings of the 20th international workshop on Network and operating systems support for digital audio and video (pp. 111-116). ACM.
    15. Kim, T., & Ammar, M. H. (2006). Receiver buffer requirement for video streaming over TCP. In Electronic Imaging 2006 (pp. 607718-607718). International Society for Optics and Photonics.
    16. Kunkel, T. (2003). Streaming media: technologies, standards, applications. John Wiley & Sons, Inc.
    17. Lawton, G. (2000). Video streams into the mainstream. Computer, (7), 12-17.
    18. Membrey, P., Hows, D., Plugge, E. & Little, J. (2012). Practical Load Balancing:Ride the performance tiger. New York: Apress.
    19. Mok, R. K., Chan, E. W., & Chang, R. K. (2011). Measuring the quality of experience of HTTP video streaming. In Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on (pp. 485-492). IEEE.
    20. Sheriguda, I., & Reddy, R. The Importance of QoS & QoE Management In Wireless Communication System.
    21. Sotomayor, B., Montero, R. S., Llorente, I. M., & Foster, I. (2009). Virtual infrastructure management in private and hybrid clouds. Internet computing, IEEE, 13(5), 14-22.
    22. Wang, B., Kurose, J., Shenoy, P., & Towsley, D. (2008). Multimedia streaming via TCP: An analytic performance study. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 4(2), 16.
    23. Wang, Z., Banerjee, S., & Jamin, S. (2003). Studying streaming video quality: from an application point of view. In Proceedings of the eleventh ACM international conference on Multimedia (pp. 327-330). ACM.
    24. Yu, F., Wan, Y. W., & Tsaih, R. H. (2013). Quantitative analysis of cloud-based streaming services. In Services Computing (SCC), 2013 IEEE International Conference on (pp. 216-223). IEEE.
    25. Zeng, L., Benatallah, B., Ngu, A. H., Dumas, M., Kalagnanam, J., & Chang, H. (2004). Qos-aware middleware for web services composition. Software Engineering, IEEE Transactions on, 30(5), 311-327.
    26. Zhao, C.G. (2011) Network Load Balancing Theory and algorithm (Chinese Edition). Bei jing: Ke xue chu ban she. Inline Citations: (
    描述: 碩士
    國立政治大學
    資訊管理學系
    103356015
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0103356015
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

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