Understanding the performance of thin-client gaming

Chang, Yuchun; Tseng, Po-Han; Chen, Kuan-Ta; Lei, Chin-Laung

doi:10.1109/cqr.2011.5996092

Cited by 48 publications

(19 citation statements)

References 13 publications

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“…This happens because the remote desktop protocols cannot cope with the amount of screen updates and lose many frames especially for the (slower) WiFi connection. Our observation is consistent with the results reported in [22], even though there are differences in the considered setups. This also explains why VNC obtains the lowest power consumption under WiFi.…”

Section: Performance Evaluationsupporting

confidence: 95%

“…For instance, GamingAnywhere [11,21] is an open-source cloud platform that allows users to play a game in the cloud and receive the displayed content as a video stream. There are a few studies about the performance of remote gaming, such as [22][23][24], but they mostly evaluate aspects related to user-experience (e.g., response time). In contrast, we specifically focus on the power consumption and the network utilization of remote display access in the context of mobile cloud computing.…”

Section: Mobile-friendly Remote Accessmentioning

confidence: 99%

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Performance evaluation of remote display access for mobile cloud computing

Lin

Kämäräinen

Francesco

et al. 2015

Computer Communications

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a b s t r a c tMobile applications are increasingly exploiting cloud computing to overcome the resource limitations of mobile devices. To this end, the most computationally expensive tasks are offloaded to the cloud and the mobile application simply interacts with a remote service through a network connection. One way to establish such a connection is given by remote display access, in which a mobile device just operates as a thin client by relaying the input events to a server and updating the screen based on the content received. In this article, we specifically address remote display access as a means for mobile cloud computing, with focus on its power consumption at mobile devices. Different from most of the existing literature, we take an experimental approach based on real user sessions employing different remote access protocols and types of applications, including gaming. Through several experiments, we characterize the impact of the different protocols and their features on power consumption and network utilization. We conclude our analysis with considerations on usability and user experience.

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Section: Performance Evaluationsupporting

confidence: 95%

Section: Mobile-friendly Remote Accessmentioning

confidence: 99%

Performance evaluation of remote display access for mobile cloud computing

Lin

Kämäräinen

Francesco

et al. 2015

Computer Communications

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“…Chang et al [13] propose a methodology for studying thinclient game systems based on the game as displayed on the server compared to the game as displayed on the client, quantifying frame rate and frame distortion. Similar to work on traditional client-server games [14], the authors find that frame rate is more critical to gameplay than frame distortion.…”

Section: Related Workmentioning

confidence: 99%

Thin to win? Network performance analysis of the OnLive thin client game system

Claypool

Finkel

Grant

et al. 2012

2012 11th Annual Workshop on Network and Systems Support for Games (NetGames)

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Abstract-The growth in network bitrates and server-based processing has provided a renewed opportunity for thin client games, where the server does heavy-weight computations, sending only the visual game frames to the client, and the client displays frames, sending only the user actions to the server. Understanding the traffic characteristics of thin client games is important for building traffic models and classifiers and planning network infrastructures to meet future demand. This paper provides the first detailed study of the network characteristics of OnLive, a commercially available thin client game system. Carefully designed experiments measure OnLive game traffic for several game genres, analyzing the bitrates, packet sizes and inter-packet times for both upstream and downstream game traffic, with comparisons to traditional game clients and streaming video. Results indicate OnLive rapidly sends large packets downstream, similar but still significantly different than live video. OnLive less frequently sends much smaller packets upstream, significantly different than traditional game client traffic. The results should be a useful beginning for building effective traffic models and classifiers, and for preparing end-host networks to support this upcoming generation of computer games.

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“…The proposed framework is one of a few attempts to combine the potential of current remote display technology and emotion technology in the cloud gaming domain. Traditional remote display technology [19], [20], [21] and remote desktop sharing technology [29] cannot meet the strict requirements of cloud gaming. For instance, the Remote Display Protocol in Amazon's EC2 Cloud service [21] consumes significant bandwidth to deliver high-motion screen updates.…”

Section: Related Workmentioning

confidence: 99%

Audio–Visual Emotion-Aware Cloud Gaming Framework

Hossain

Muhammad

Song

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

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The promising potential and emerging applications of cloud gaming have drawn increasing interest from academia, industry, and the general public. However, providing a highquality gaming experience in the cloud gaming framework is a challenging task because of the tradeoff between resource consumption and player emotion, which is affected by the game screen. We tackle this problem by leveraging emotion-aware screen effects in the cloud gaming framework and combining them with remote display technology. The first stage in the framework is the learning or training stage, which establishes a relationship between screen features and emotions using Gaussian mixture model (GMM) based classifiers. In the operating stage, a linear programming (LP) model provides appropriate screen changes based on the real-time user emotion obtained in the first stage. Our experiments demonstrate the effectiveness of the proposed framework. The results show that our proposed framework can provide a high quality gaming experience while generating an acceptable amount of workload for the cloud server in terms of resource consumption.

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Understanding the performance of thin-client gaming

Cited by 48 publications

References 13 publications

Performance evaluation of remote display access for mobile cloud computing

Performance evaluation of remote display access for mobile cloud computing

Thin to win? Network performance analysis of the OnLive thin client game system

Audio–Visual Emotion-Aware Cloud Gaming Framework

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