A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing

Sensors
Ke LiM Omair Ahmad

Abstract

Service perception analysis is crucial for understanding both user experiences and network quality as well as for maintaining and optimizing of mobile networks. Given the rapid development of mobile Internet and over-the-top (OTT) services, the conventional network-centric mode of network operation and maintenance is no longer effective. Therefore, developing an approach to evaluate and optimizing users' service perceptions has become increasingly important. Meanwhile, the development of a new sensing paradigm, mobile crowdsensing (MCS), makes it possible to evaluate and analyze the user's OTT service perception from end-user's point of view other than from the network side. In this paper, the key factors that impact users' end-to-end OTT web browsing service perception are analyzed by monitoring crowdsourced user perceptions. The intrinsic relationships among the key factors and the interactions between key quality indicators (KQI) are evaluated from several perspectives. Moreover, an analytical framework of perceptional degradation and a detailed algorithm are proposed whose goal is to identify the major factors that impact the perceptional degradation of web browsing service as well as their significance of contribution. Fin...Continue Reading

References

Jul 13, 2004·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Alexander KraskovPeter Grassberger
Dec 17, 2011·Science·David N ReshefPardis C Sabeti

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OTT
Chrome
CUP
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