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- Su, Guanming, et al.
(författare)
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QoE in video streaming over wireless networks : perspectives and research challenges
- 2016
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Ingår i: Wireless networks. - : Springer Science and Business Media LLC. - 1022-0038 .- 1572-8196. ; 22:5, s. 1571-1593
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Tidskriftsartikel (refereegranskat)abstract
- The deployment of 3G/LTE networks and advancements in smart mobile devices had led to high demand for multimedia streaming over wireless network. The rapid increasing demand for multimedia content poses challenges for all parties in a multimedia streaming system, namely, content providers, wireless network service providers, and smart device makers. Content providers and mobile network service providers are both striving to improve their streaming services while utilizing advancing technologies. Smart device makers endeavor to improve processing power and displays for better viewing experience. Ultimately, the common goal shared by content providers, network service providers, and smart device manufactures is to improve the QoE for users. QoE is both an objective and a subjective metric measuring the streaming quality experience by end users. It may be measured by streaming bitrate, playback smoothness, video quality metrics like Peak to Signal Noise Ratio, and other user satisfaction factors. There have been efforts made to improve the streaming experiences in all these aspects. In this paper, we conducted a survey on existing literatures on QoE of video streaming to gain a deeper and more complete understanding of QoE quality metrics. The goal is to inspire new research directions in defining better QoE and improving QoE in existing and new streaming services such as adaptive streaming and 3D video streaming
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| 2. |
- Carlsson, Niklas, et al.
(författare)
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Guest Editorial - Cloud and Big Data
- 2014
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Ingår i: Journal of Communications. - : Engineering and Technology Publishing. - 1796-2021 .- 2374-4367. ; 9:4, s. i-iii
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Tidskriftsartikel (refereegranskat)abstract
- In the current digital age, massive amounts of data are generated in many different ways and forms. The data may be collected from everything from personal web logs to purposefully placed sensors. Today, companies and researchers use this data for everything from targeted personalized ads based on social data to solving important scientific problems that may help future generations of word citizens. Regardless if measured in monetary profit or other measures, the value of this data has proven valuable for many purposes and has led us into the Big Data era. Due to the large volume of data, Big Data requires significant storage, processing, and bandwidth resources. To date, the Cloud provides the largest collection of disk storage, CPU power, and network bandwidth, which makes it a natural choice for housing the Big Data.
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