Measuring the latency of cloud gaming systems

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

doi:10.1145/2072298.2071991

Cited by 151 publications

(75 citation statements)

References 4 publications

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“…There have been a number of studies which attempt to quantify the effect of latency on game performance [7], [8], [10], [18], [28]. Claypool et al detail how latency affects different types of games [13].…”

Section: Related Workmentioning

confidence: 99%

“…To achieve this graphics must be rendered at sufficiently high quality and the QoS must be such that the response time for the game is satisfactory. The exact conditions needed for reasonable QoS depend on the type of game and have been studied in great detail [13], [10], [8]. The two factors which affect the QoS 2 for game users are bandwidth and latency.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Let M be the maximum latency allowable before the QoS of the game is affected. The recommended value of M ranges from 80ms-1000ms [28], [9], [8], [11], [22], [13]. The related field of video conferencing, however, recommends that the one-way latency should be less than 150ms as values higher than this will result in a noticeable delay [32].…”

Section: Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Doyle

Islam

Bashroush

et al. 2017

2017 IEEE World Congress on Services (SERVICES)

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Abstract-Cloud gaming where computer games are executed on cloud based resources is a new service which can be extremely challenging for service providers. Unlike other web and video streaming applications it requires both a relatively high constant downlink bandwidth and low latency simultaneously. Hence, cloud gaming providers recommend that clients be relatively close to data centers to ensure reasonable Quality of Service. Latency, however, is also dependent on the compression type used for the video streaming and there is a trade-off between compression efficiency and complexity which affects client computer capability. In this paper we propose the Strife system which examines the processing capabilities of the client as well as the network conditions between the client and data center to select the compression type that maximizes the size of the client base for cloud gaming services for which reasonable Quality of Service can be provided. We model a cloud gaming service using data which reflects gaming hardware in common use, the bandwidth available in the regions and optimize the number of users that can receive reasonable Quality of Service. Finally, we compare other schemes with the Strife system to evaluate its performance.

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Section: Related Workmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Doyle

Islam

Bashroush

et al. 2017

2017 IEEE World Congress on Services (SERVICES)

View full text Add to dashboard Cite

show abstract

“…Typically 'acceptable' [17] game latencies range from 100ms for first person shooter (FPS) and racing games, 500ms for sports and role playing games (RPG), and 1000ms for real-time strategy games (RTS). Active QoS measurement approaches include active ping latency measurement for cloud-hosted FPS and RTS [14] games, Passive QoS measurement approaches use sampling latency and packet loss from tcpdump traffic data [39] for Massively Multiplayer Online Role-Playing Games (MMORPG's) like World of Warcraft and, interpacket arrival times [12] for FPS's like Quake3 and Halo2.…”

Section: Related Workmentioning

confidence: 99%

Scalable classification of QoS for real-time interactive applications from IP traffic measurements

Middleton

Modafferi

2016

Computer Networks

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Measurement of network Quality of Service (QoS) has attracted considerable research effort over the last two decades. The recent trend towards Internet Service Providers (ISP's) offering application-specific QoS is creating possibilities for more sophisticated QoS metrics to be offered by ISP's in service level agreements. This in turn could be used for the purposes of improved network optimization and billing according to application specific QoS guarantees. We report a scalable near real-time approach using passively logging IP traffic data for classification of application latency and packet loss across a range of real-time interactive applications. We run six experiments involving Minecraft, Quake 3 Urban Terror, VLC video streaming and the commercial Wirofon VOIP application. We use a mixture of laboratory and realworld deployments, with run times ranging from hours to days, and observe a combination of real and simulated ISP latency and packet loss events. Our binary classification (i.e. classes 'OK' or 'lag') 10-fold cross validation F1 scores are between 0.80 and 0.93 depending on application type. Our multi-class classification (i.e. classes representing discrete packet loss or latency ranges) 10-fold cross validation F1 scores for Minecraft are 0.89 for latency and 0.90 for packet loss. With new business models between ISP's and application developers being actively considered this work represents a significant contribution to the debate by providing scientific evidence relating to a novel approach to scalable QoS measurement

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“…We focus on the network latency since the other latencies, especially the generation of game videos, have been studied in previous work [18,32]. We evaluate an EC2-only deployment, an edge-server only deployment, and a hybrid design that combines edge servers (e.g.…”

Section: A Reality Check On Cloud Infrastructure For On-demand Gamingmentioning

confidence: 99%

A hybrid edge-cloud architecture for reducing on-demand gaming latency

et al. 2014

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The cloud was originally designed to provide general purpose computing using commodity hardware and its focus was on increasing resource consolidation as a means to lower cost. Hence, it was not particularly adapted to the requirements of multimedia applications that are highly latency sensitive and require specialized hardware, such as graphical processing units.Existing cloud infrastructure is dimensioned to serve general purpose workloads and to meet end-user requirements by providing high throughput. In this paper, we investigate the effectiveness of using this general-purpose infrastructure for serving latency-sensitive multimedia applications. In particular, we examine on-demand gaming, also known as cloud gaming, which has the potential to change the video game industry. We demonstrate through a large-scale measurement study that the existing cloud infrastructure is unable to meet the strict latency requirements that is necessary for acceptable on-demand game play. Furthermore, we investigate the effectiveness of incorporating edge servers, which are servers located near end-users (e.g. CDN servers), to improve end-user coverage. Specifically, we examine an edge-server only infrastructure and a hybrid infrastructure that consists of using edge servers in addition to the cloud. We find that a hybrid infrastructure significantly improves the number of end-users served. However, the number of satisfied end-users in a hybrid deployment largely depends on the various deployment parameters. Therefore, we evaluate various strategies that determine two such parameters, namely, the location of on-demand gaming servers and the games that are placed on these servers. We find that, through both a careful selection of on-demand gaming servers and the games to place on these servers, we significantly increase the number of end-users served over the basic random selection and placement strategies.

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Measuring the latency of cloud gaming systems

Cited by 151 publications

References 4 publications

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Scalable classification of QoS for real-time interactive applications from IP traffic measurements

A hybrid edge-cloud architecture for reducing on-demand gaming latency

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