Challenges of QoE management for cloud applications

Hoβfeld, Tobias; Schatz, Raimund; Varela, Martín; Timmerer, Christian

doi:10.1109/mcom.2012.6178831

Cited by 181 publications

(114 citation statements)

References 12 publications

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“…Recent work by Suznjevic et al, however, suggest that certain aspects of role playing games (RPGs) games such as player vs player (PVP) combat may have stricter latency requirements [31] than the 500ms threshold given in [13]. Hoßfeld et al examine how the shift from local hardware to the cloud will affect the QoS of games [19]. Ojala et al examine the operation of a cloud gaming business [25].…”

Section: Related Workmentioning

confidence: 99%

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%

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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“…These new networks are classified as Cloud Mobile Media (CMM) [3]. Nevertheless for these applications in CMM new challenges appear, related to the Quality of Experience (QoE) management [8].…”

Section: Related Workmentioning

confidence: 99%

“…According to [8] in CMM infrastructures for live video streaming applications, the main inconvenient arises due to the additional delay and jitter mainly introduced by the virtualization processes and increase of network distance between end-user and service. A global scheme of a complete CMM architecture is shown in Fig 1, where it is given the detail for the different approaches, F R and N R. Thus, in order to validate this statement, we have performed several experiments to measure the delay and jitter in three different scenarios.…”

Section: Cloud Mobile Media Featuresmentioning

confidence: 99%

Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

García-Pineda¹,

Felici-Castell²,

Segura-García³

2016

NPA

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The increased adoption of smartphones, the access to mobile broadband networks and the availability of public Clouds allow new multimedia services, called Cloud Mobile Media Services. Under this new architecture the proliferation of live video streaming applications and the Quality of Experience (QoE) given by the final user are an issue, due to the higher and variable delay, as result of the virtualization methods used in the Clouds. Thus in this paradigm new challenges appear related to keep and estimate a good QoE in terms of a standardized subjective video quality called Mean Opinion Score (MOS). In this paper, we propose several objective video quality metrics to estimate the subjective MOS based on Factor Analysis techniques both using Full Reference and Non Reference approaches. We compare the performance of the estimated MOS against publicly available video quality algorithms.

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“…The interactive response time is defined as the elapsed time between when an action of the user is captured by the system and when the result of this trigger can be perceived by the user. Past studies have found on-demand gaming to be highly demanding with respect to response time [21,22,30]. The work in [33] demonstrates that a latency around 100 ms is highly recommended for dynamic, action games while response time of 150 ms is required for slower-paced games.…”

Section: Introductionmentioning

confidence: 98%

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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Challenges of QoE management for cloud applications

Cited by 181 publications

References 12 publications

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

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

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