Cost-Efficient Server Provisioning for Cloud Gaming

Li, Yusen; Deng, Yunhua; Tang, Xueyan; Cai, Wentong; Liu, Xiaoguang; Wang, Gang

doi:10.1145/3190838

Cited by 21 publications

(8 citation statements)

References 36 publications

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“…For example, WFA was used by Onlive for game placement [60]. Also, the concept of the BFA, FFA, and NFA employed in other cloud gaming studies [21], [38], [40]. In this part of the experiments, we employ a new frame rate set, i.e., F2 = {30, 45, 60, 90, 120}, which includes some higher and realistic frame rates for today's games.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…In the cloud gaming system, the game's software should be installed on the distributed servers to avoid slowing down the loading and disrupting players' interaction. Authors in [40] formulate an optimization problem for server provisioning to minimize the software storage cost and the server running cost. Among the multiple heuristic algorithms which are employed to solve the problem, their ordered method and Genetic Algorithm have the best performance in terms of the minimum service cost and robustness for dynamic changes.…”

Section: B Related Workmentioning

confidence: 99%

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Boosted Metaheuristic Algorithms for QoE-Aware Server Selection in Multiplayer Cloud Gaming

2020

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Cloud Gaming (CG) provides a high performance and cost-effective solution where players with low-end devices can play high-end games without the need for advanced hardware. A cloud-based video game system offloads all the computational tasks to the cloud. Considering the dynamic nature of game workloads and resource capacity, resource management is still a significant challenge. Since CG is a real-time gaming service, graphics processing units (GPUs) are necessary to accelerate game scene rendering. GPUs are one of the most expensive resources in a CG platform. Therefore, service providers have a strong incentive to utilize GPUs efficiently to maximize their economic profit. In addition, players' quality of game experience (QoE) is a crucial parameter that can directly affect a service provider's profit and must be taken into account in any resource scheduling optimization. To satisfy both parties, in this paper we propose two efficient methods for GPU based server selection in CG. The proposed methods are an improved version of two well-known metaheuristic algorithms called Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), which we refer to as Boosted-PSO and Boosted-GA, respectively. The proposed methods consider service providers' profits and players' experience simultaneously. Our objective is to maximize GPU utilization, which will not only lead to the service provider's economic benefit, but also increase the player's QoE. Our simulation results show that compared to the existing methods to solve such an NP-Hard optimization problem, our Boosted-PSO method, followed by Boosted-GA, achieves the highest efficiency in terms of GPU utilization, capacity wastage, and player's QoE.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Boosted Metaheuristic Algorithms for QoE-Aware Server Selection in Multiplayer Cloud Gaming

2020

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“…Some machine learning algorithms have been used to equipped cloud games to increase performance and reduce latency and bandwidth. Machine learning algorithm such as genetic algorithm (GA) was developed and highly robust to support cloud game, by optimizing both the server running cost and the software storage cost and running queueing theory for system behaviors under different request dispatching [17]. K-means clustering algorithm was applied with some cloud games that were clustered into two clusters where cluster one is a low video motion cloud game, and cluster two is a high video motion cloud game [18].…”

Section: Previous Researchmentioning

confidence: 99%

Mobile cloud game in high performance computing environment

Kristiadi¹,

Sudarto²,

Rahardja

et al. 2020

TELKOMNIKA

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Mobile cloud game is a solution to play high-end games in indigent thin clients with a diversity of end-user devices, and as real-time gaming, mobile cloud game hosting game engines in the cloud. Moreover, frequent change in network quality is another issue that should be limited to run the real fast cloud game. Thus, reliable software components between cloud and user devices as clients, including using artificial intelligence (AI) algorithms such as machine learning, deep learning and so on will enhance the game performance, particularly in multiplayer and real-time conditions. In this paper, we list the mobile cloud game architecture in the high-performance computing (HPC) environment, where a load of the game will be distributed between servers as cloud and clients. The server node as clouds or clients will consist of more than one server with many processors (cores) or sometimes can be recognized as distributed computing. Using HPC for cloud games will boost the game performance where the execution times will be dispersed not only in some node in servers and clients but in many cores of each server or client. The involvement of the internet of things (IoT) and ubiquitous access from heterogeneous devices will give benefit to enjoyment in the game itself.

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“…By relocating (off-loading) local device tasks to the cloud servers, efficient and ambient cloud services can be accomplished, thus guaranteeing cloud gaming ecosystems with a large number of mobile game players and mobile devices working remotely, but in coordination [9]. Since mobile devices have only limited memory and computational resources, information stored on local devices is synchronized with shared data centers, therefore the system's availability is a demanding factor.The problems faced by cloud gaming include the server provisioning problem [10], with the goal of slashing server running and data storage costs, as well as measuring and reducing the latency [11]. There is also some work focusing on graphics rendering and video encoding for network bandwidth reduction in the video transmission [12].…”

mentioning

confidence: 99%

“…The problems faced by cloud gaming include the server provisioning problem [10], with the goal of slashing server running and data storage costs, as well as measuring and reducing the latency [11]. There is also some work focusing on graphics rendering and video encoding for network bandwidth reduction in the video transmission [12].…”

mentioning

confidence: 99%

Cloudification of Virtual Reality Gliding Simulation Game

et al. 2018

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Cloud gaming provides cloud computing-based game as a service. In this paper we describe the development of a virtual reality base gliding game as a proof-of-concept. In the cloud, a cloud gaming platform is hosted on cloud servers with two principal components: game logic engaged in the implementation of game mechanics and game interactions, and video renderer that generates the game frames in real-time. The virtual gliding game was realized in the Unity gaming engine. To ensure smooth playability, and access for remote players, the computationally-intensive parts of the game were offloaded to a physically remote cloud server. To analyze the efficiency of the client-cloud interaction, three cloud servers were setup. The results of cloudification were evaluated by measuring and comparing computation offloading performance, network traffic, the probability of service drop, perceptual quality and video quality.Information 2018, 9, 293 2 of 15 (GBaaS) and Game as a Service (GaaS) [6]. Mobile backend-as-a-service (MBaaS) allows game programmers to connect the backend of their software systems to the cloud, as well as to enable integration with social networks [7]. A player can interface with the cloud-hosted application using a thin client model, which controls the displaying of the game's video frames from the cloud server and for responding to the player's commands and responding back to the cloud [8]. These cloud services aim to provide powerful real-time tools specifically dedicated for gaming, with applications emerging in other areas, such as medicine, marketing and education as well.The characteristics of mobile devices recently were rising rapidly in terms of computational abilities, memory, features, and number of apps. However, mobile apps are still relatively inferior by bounded battery life, lack of stability of wireless communications, and prone-to-interruptions connections and constrained bandwidth, and lack of local storage and computing power. By relocating (off-loading) local device tasks to the cloud servers, efficient and ambient cloud services can be accomplished, thus guaranteeing cloud gaming ecosystems with a large number of mobile game players and mobile devices working remotely, but in coordination [9]. Since mobile devices have only limited memory and computational resources, information stored on local devices is synchronized with shared data centers, therefore the system's availability is a demanding factor.The problems faced by cloud gaming include the server provisioning problem [10], with the goal of slashing server running and data storage costs, as well as measuring and reducing the latency [11]. There is also some work focusing on graphics rendering and video encoding for network bandwidth reduction in the video transmission [12]. The cloud resource allocation problems in order to minimize the interaction latency among interactive clients were researched in Reference [13]. A promising approach utilized by many authors to mitigate cloud-related problems can by implemented by computati...

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Cost-Efficient Server Provisioning for Cloud Gaming

Cited by 21 publications

References 36 publications

Boosted Metaheuristic Algorithms for QoE-Aware Server Selection in Multiplayer Cloud Gaming

Boosted Metaheuristic Algorithms for QoE-Aware Server Selection in Multiplayer Cloud Gaming

Mobile cloud game in high performance computing environment

Cloudification of Virtual Reality Gliding Simulation Game

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