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Simulating a distributed cloud gaming engine

Xinqi Yuan

Simulating a distributed cloud gaming engine.

Rel. Paolo Giaccone. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2022

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This thesis designs resource allocation algorithms for distributed cloud gaming engines with the aim of improving QoS (Quality of Service) and QoE (Quality of Experience) for cloud gaming. Cloud gaming is an emerging technology that allows players to play games without high-end hardware. Games are run on cloud servers via containers and rendered images are pushed to the user. Cloud gaming technology has many advantages over traditional gaming technologies, but factors still affect the player experience. In the face of such challenges, resources must be dynamically aggregated in an on-demand manner in a cloud architecture. The first step is to analyse the design goals for a new generation of distributed cloud gaming engines and then to design offline algorithms. In the simulation of the algorithms, two different models, namely "bottom-up" and "top-down", are to be built, corresponding to various allocation schemes of the cloud gaming engine to users, and using multiple sets of different user combination data, to have experimented, compared and analysed with the project partners, and to be compared with the traditional cloud gaming engine. Based on the QoE and cost analysis, the best approach is selected.

Relators: Paolo Giaccone
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 78
Corso di laurea: Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/25488
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