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Application-aware Traffic Prediction and User-aware Quality-of-Experience Measurement in Smart Network

Zhang, Jielun
http://orcid.org/0000-0002-2113-2104
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1532582833701364

Abstract Details

2018, Master of Science (M.S.), University of Dayton, Electrical and Computer Engineering.
In this thesis, we propose to develop a secure and distributed network quality-of-experience (QoE) measurement for smart networks. Network measurement capability has been updated gradually as the network technology progresses. For example, software-defined network will enable efficient monitoring and control of the core network. However, end-to-end network QoE measurement requires distributed approaches from the user side. In our proposed measurement framework, a traffic measurement agent is deployed in the last-hop gateway. The gateway is equipped with new features, i.e., encrypted packet classifier, traffic prediction, and user quality-of-service (QoS) to QoE mappings. Since all measurement processes are done at the gateway, end user devices are separated from the entire process. Thus security can be provided by the proposed measurement framework. In addition to the framework, we demonstrate an efficient learning approach to develop the traffic prediction scheme and the QoS to QoE mapping scheme. Experiments results are provided to demonstrate that the developed schemes are applicable to a distributed network QoS measurement framework for smart networks.
Feng Ye (Advisor)
Guru Subramanyam (Committee Member)
Eric Balster (Committee Member)
46 p.
Electrical Engineering
network measurement; machine learning; application-aware; quality-of-experience; smart network

Recommended Citations

Citations

  • Zhang, J. (2018). Application-aware Traffic Prediction and User-aware Quality-of-Experience Measurement in Smart Network [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1532582833701364

    APA Style (7th edition)

  • Zhang, Jielun. Application-aware Traffic Prediction and User-aware Quality-of-Experience Measurement in Smart Network. 2018. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1532582833701364.

    MLA Style (8th edition)

  • Zhang, Jielun. "Application-aware Traffic Prediction and User-aware Quality-of-Experience Measurement in Smart Network." Master's thesis, University of Dayton, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1532582833701364

    Chicago Manual of Style (17th edition)

dayton1532582833701364
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This open access ETD is published by University of Dayton and OhioLINK.