Emerging science of QoE in multimedia applications: Concepts, experimental guidelines, and validation of models

Krasula, Lukáš; Callet, Patrick Le

doi:10.1016/b978-0-12-811889-4.00004-x

Cited by 3 publications

(3 citation statements)

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“…Cloud computing is challenged with high latency, heterogeneity and large scale owing to their geographical location (Michaela et al,2018). Overall user's satisfaction regarding reliability, availability, scalability, speed, accuracy, and efficiency is now more important than ever for both users and network providers especially with the coming in of IoT (Dr. Jens Berger, 2019) (Krasula et al, 2020). As such, fog computing has been proved to be a better solution to offer better QoS (Vambe et al, 2019) and QoE due to its aware application management policies (Skarlat et al, 2021).…”

Section: Role Of Fog Computing In Qos and Qoementioning

confidence: 99%

“…In MOS, the service quality is rated by users using a scale of one to five (1-5), where one (1) represents the worst quality and five (5) represent the best quality. After realizing that MOS only denotes discredit values, an extended discrete value that adds a zero (0) was proposed, known as the opinion score and regarded as a new QoE measurement (Krasula et al, 2020). Based on this new QoE measurement opinion score scale, bad, poor, fair, good and excellent quality is now classified as (Laghari, He, Zardari, et al, 2017).…”

Section: Qoe Measurementsmentioning

confidence: 99%

“…Quality of Experience is not only good for end-users, but network operators can also benefit if and only if they can have the ability to measure it (Nobre, 2018). Network operators' ability to measure QoE will contribute to the overall user's satisfaction regarding reliability, availability, scalability, speed, accuracy, and efficiency (Dr. Jens Berger, 2019) (Krasula et al, 2020). Many networks and other researchers now focus on improving QoE in fog computing to ensure that the user's needs are satisfied with minimum network resources.…”

Section: Introductionmentioning

confidence: 99%

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Fog Computing Quality of Experience

Vambe

2023

International Journal of Fog Computing

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Since its inception in 2012, fog computing has played a dominant role in addressing the quality of service (QoS). However, with the emergence of the internet of things and artificial intelligence technologies, which create a “smart world” where everything is automated, offering quality of service alone is no longer sufficient as it does not offer a satisfactory user experience. Quality of experience (QoE), which satisfies user experience and improves user performance, becomes vital and fog computing remains a key technology. To understand QoE, there was a need to distinguish it from QoS based on stance, scope, perspective, focus, and methods. A systematic literature review was done looking at works that use fog computing to maintain or improve QoE with the focus being on problems being addressed in a paper and how the results contributed to improving QoE. Critical analysis of the review showed that even though strides have been made to improve QoE, open research challenges still exist that require intervention to improve or maintain acceptable QoE in fog computing to satisfy user needs.

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Section: Role Of Fog Computing In Qos and Qoementioning

confidence: 99%

Section: Qoe Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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