Measuring and estimating Key Quality Indicators in Cloud Gaming services
نویسندگان
چکیده
User equipment is one of the main bottlenecks facing gaming industry nowadays. The extremely realistic games which are currently available trigger high computational requirements user devices to run games. As a consequence, game has proposed concept Cloud Gaming, paradigm that improves experience in reduced hardware devices. To this end, hosted on remote servers, relegating users' play only role peripheral for interacting with game. However, overloads communication links connecting users cloud. Therefore, service becomes highly dependent network connectivity. overcome this, Gaming will be boosted by promised performance 5G and future 6G networks, together flexibility provided mobility multi-RAT scenarios, such as WiFi. In scope, present work proposes framework measuring estimating E2E metrics service, namely KQIs. addition, different machine learning techniques assessed predicting KQIs related user's experience. key quality indicators (KQIs) input lag, freeze percent or perceived video frame rate collected real environment. Based these, results show provide good estimation these solely from network-based metrics. This considered valuable asset guide delivery services through cellular communications networks even without access device, it expected telecom operators.
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ژورنال
عنوان ژورنال: Computer Networks
سال: 2023
ISSN: ['1872-7069', '1389-1286']
DOI: https://doi.org/10.1016/j.comnet.2023.109808