Cloud gaming (CG), as an emergent computing paradigm, is revolutionizing the gaming industry. Currently, cloud gaming service providers (CGSPs) begin to integrate edge computing with cloud to provide services, with the aim of maximizing gaming service revenue while considering the costs incurred and the benefits generated. However, it is non-trivial to maximize gaming service revenue, as future requests are not known beforehand, and poor resource provisioning may result in exorbitant costs. In addition, the edge resource provisioning (ERP) problem in CG necessitates a trade-off between cost and inevitable queuing issues in CG systems. To address this issue, we propose ERPOL (ERP Online), a convenient and efficient approach to formulate ERP strategies for CGSPs, without requiring any future information. The performance of ERPOL has been theoretically validated and experimentally evaluated. Experiments driven by real-world traces show that it can achieve significant cost savings. The proposed approach has the potential to transform how CGSPs manage their infrastructure.

中文翻译：

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一种用于云游戏中边缘资源配置的在线成本优化方法


云游戏 （CG） 作为一种新兴的计算范式，正在彻底改变游戏行业。目前，云游戏服务提供商 （CGSP） 开始将边缘计算与云集成以提供服务，目的是在考虑产生的成本和产生的收益的同时最大限度地提高游戏服务收入。然而，最大化游戏服务收入并非易事，因为未来的请求事先并未得到知晓，并且资源配置不当可能会导致成本过高。此外，CG 中的边缘资源预置 （ERP） 问题需要在成本和 CG 系统中不可避免的排队问题之间进行权衡。为了解决这个问题，我们提出了 ERPOL （ERP Online），这是一种为 CGSP 制定 ERP 策略的便捷有效的方法，不需要任何未来信息。ERPOL 的性能已经过理论验证和实验评估。由真实跟踪驱动的实验表明，它可以显著节省成本。所提出的方法有可能改变 CGSP 管理其基础设施的方式。