A centralized architecture for autonomic quality of experience oriented handover in dense networks

Aldhaibani, Omar A.; Al-Jumaili, Mustafa Hamid; Raschellà, Alessandro; Kolivand, Hoshang; Preethi, A

doi:10.1016/j.compeleceng.2021.107352

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…Meanwhile, the competition among the service providers becomes fiercer, if the organization wants to win in such a fierce competition, they will need to be recognized by the users and satisfy them. At the same time they provide services, cloud organizations are paying attention to the QoE and hoping to improve their service level by users satisfaction with their products [3]. Previous research has provided QoE based solutions for multimedia services based on the QoE to provide quality of service (QoS) for video streaming to end-user [4,5], but did not provide a satisfactory solution that differentiates the positive and negative feedback of users for service management [6].…”

Section: Introductionmentioning

confidence: 99%

Crowdsourcing platform for QoE evaluation for cloud multimedia services

Laghari

Khan

et al. 2022

COMSIS J

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This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective and objective quality of experience (QoE) of the video service in the cloud-server environment. The user has the option to enter subjective QoE data for video service by filling out a web questionnaire. The objective QoE data of the cloud-server, network condition, and the user device is automatically captured by the crowdsourcing platform. Our proposed system collects both objective and subjective QoE simultaneously in real-time. The paper presents the key technologies used in the development of the platform and describes the functional requirements and design ideas of the system in detail. The system collects real-time comprehensive data to enhance the quality of the user experience to provide a valuable reference. The system is tested in a real-time environment and the test results are given in terms of the system performance. The crowdsourcing platform has new features of real-time network monitoring, the client device, and cloud monitoring, which currently has not been provided by existing web platforms and crowdsourcing frameworks. The results show that 1MB buffer is filled 100% very soon after starting watching videos from the crowdsourcing platform.

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Section: Introductionmentioning

confidence: 99%