![]() The fitness function is newly devised considering certain QoE parameters, which involves fairness index, Quantified experience of players (QE), and Mean Opinion Score (MOS). The Rider-based harmony search algorithm (Rider-based HSA), which is the combination of Rider optimization algorithm (ROA) and Harmony search algorithm (HSA), is proposed for resource allocation to improve the cloud computing system’s efficiency. This paper leverages a game theory in the cloud gaming model with resource optimization to discover optimal solutions to resolve resource allocation. To guarantee general satisfaction for all users with limited cloud resources, it becomes a major issue in the cloud. The user may have different Quality-of-Experience (QoE), which is a term used to measure a user’s level of satisfaction and enjoyment for a particular service. The paper illustrates some optimisation methods to reduce exponential growth and discusses directions for further works in this area.Ĭloud gaming is an innovative model that congregates video games. The resource requirements of the predictive cloud gaming gaming system grows exponentially with respect to prediction period of future frames. The evaluations show significant gain in QoE. A simple game is built to demonstrate key aspects of the model and to conduct subjective evaluation of quality of experience (QoE) of the game play. The model is analysed further to estimate the resource requirements for predictive cloud gaming. The model demonstrates significant amount of response latency reduction in predictive cloud gaming when compared to conventional cloud gaming. The theocratical model design is started with an ideal server with unlimited resources for ease of understanding and then it is enhanced with resource constraints of a practically feasible non-ideal server. The paper provides a generic and comprehensive theoretical model that shows the relationship between various parameters (network bandwidth, round-trip-time and processing time for game logic, predicting future outcomes, rendering, capturing, encoding and decoding) of predictive cloud gaming and response latency. The approach in this work seeks to exploit the near unlimited processing power of the cloud and ever increasing network bandwidth. The main idea of the predictive paradigm is to pre-generate and send future outcome frames in advance to the thin-client so that the thin-client can respond immediately to any user input. ![]() In this paper, we introduce a novel predictive paradigm of cloud gaming in order to mitigate latency that is inherent in cloud gaming systems. Despite many benefits of cloud gaming (video or pixel streaming of rendered game scenes), the primary factor that hinders the growth is response latency, a well known issue. Though there is an explosion of cloud services in recent years, cloud gaming industry is still way behind in making a strong breakthrough. We prove theoretically and verify experimentally that, with the proposed distributed VM placement algorithm, players can achieve a mutually satisfying state within a finite number of iterations. ![]() Further, by constructing a potential function, we prove that the resource competition game is a potential game, and the proposed algorithm scales well as the player population increases. It proposes a distributed algorithm to optimize virtual machine (VM) placement in mobile cloud gaming through resource competition. In order to meet the overall requirements of players in a cost-effective manner, this work applies game theory to cloud gaming scenarios. Under this circumstance, how to satisfy players of different interests by efficiently leveraging cloud resources becomes a major challenge to existing cloud gaming services. On the other hand, different game players may have distinct requirements on Quality-of-Experience, such as high video quality, low delay, etc. In such cloud gaming scenarios, the cloud is required to consume tremendous resources for video rendering and streaming, especially when the number of concurrent players reaches a certain level. Cloud gaming is a novel service provisioning paradigm, which hosts video games in the cloud and transmits interactive game streams to game players via the Internet.
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