Abstract
Real-time video application usage is increasing rapidly. Hence, accurate and efficient assessment of video Quality of Experience (QoE) is a crucial concern for end-users and communication service providers. After considering the relevant literature on QoS, QoE and characteristics of video trans-missions, this paper investigates the role of big data in video QoE assessment. The impact of QoS parameters on video QoE are established based on test-bed experiments. Essentially big data is employed as a method to establish a sensible mapping between network QoS parameters and the resulting video QoE. Ultimately, based on the outcome of experiments, recommendations/re- quirements are made for a Big Data-driven QoE model.
Highlights
This paper presents a brief outline of Quality of Experience (QoE) in video traffic and describes how big data can provide a possible solution to the challenges in video QoE assessment
From this definition it can be stated that Quality of Service (QoS) is the ability of an Internet service such as email, web browsing or a video conference call to provide the minimum level of quality so that the service can be completed and meet the needs of the end-user
Overall the outcome is as expected whereas when the network QoS conditions deteriorate, we see a decrease in end-user QoE scores
Summary
This paper presents a brief outline of Quality of Experience (QoE) in video traffic and describes how big data can provide a possible solution to the challenges in video QoE assessment. Expanding on this point, [3] states that quality assessment methods are extremely useful for in-service quality monitoring and management, codec optimization and quality design of networks and terminals. Understanding the quality experienced by customers—Network operators can gain a better insight into the end-to-end performance experienced by its customers This allows operators to provide better services to their customers and creates a better understanding for senior managers who make investment decisions. Understanding the impact and operation of new devices and technology—As new products or technologies are deployed into network infrastructures it is essential that its operational impact can be measured and evaluated Quantifying these new implementations can lead to more informed decision making for larger, wider spread rollouts
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