While cloud gaming has brought considerable advantages for its customers, from the point of view of cloud providers, multiple aspects related to infrastructure management still fall short of such kind of service. Indeed, differently from traditional cloud-ready applications, modern game engines are still based on monolithic software architectures. This aspect precludes the applicability of fine-grained resource management and service orchestration schemes, ultimately leading to poor cost-effectiveness. To mitigate these shortcomings, we propose a Cloud-Oriented Distributed Engine for Gaming (CODEG). Thanks to its distributed nature, CODEG is capable of fully exploiting the resource heterogeneity present in cloud data centers, while providing the possibility of spanning its service on multiple network layers up to the edge clouds.
Revamping Cloud Gaming with Distributed Engines / De Giovanni, Luigi; Gadia, Davide; Giaccone, Paolo; Maggiorini, Dario; Palazzi, Claudio E.; Ripamonti, Laura A.; Sviridov, German. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - ELETTRONICO. - 26:6(2022), pp. 88-95. [10.1109/MIC.2022.3172105]
Revamping Cloud Gaming with Distributed Engines
Paolo Giaccone;German Sviridov
2022
Abstract
While cloud gaming has brought considerable advantages for its customers, from the point of view of cloud providers, multiple aspects related to infrastructure management still fall short of such kind of service. Indeed, differently from traditional cloud-ready applications, modern game engines are still based on monolithic software architectures. This aspect precludes the applicability of fine-grained resource management and service orchestration schemes, ultimately leading to poor cost-effectiveness. To mitigate these shortcomings, we propose a Cloud-Oriented Distributed Engine for Gaming (CODEG). Thanks to its distributed nature, CODEG is capable of fully exploiting the resource heterogeneity present in cloud data centers, while providing the possibility of spanning its service on multiple network layers up to the edge clouds.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2962319