Challenges of future multimedia QoE monitoring for internet service providers

Robitza, Werner; Ahmad, Arslan; Kara, Péter A.; Atzori, Luigi; Martini, Maria G.; Raake, Alexander; Sun, Lingfen

doi:10.1007/s11042-017-4870-z

Cited by 45 publications

(48 citation statements)

References 33 publications

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“…The concept of validity versus reliability has been shown in Figure 7. Validity describes how well a method measures what it is intended to measure, while reliability refers to the accuracy of a method in terms of scattering of results (for example, when a test assessment is repeated) [20]. The end-user experience can be measured using two broad techniques: subjective and objective tests [12].…”

Section: Qoe Assessment Methodologiesmentioning

confidence: 99%

A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective

Pal

Triyason

2018

International Journal of Digital Multimedia Broadcasting

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Over the past few years there has been an exponential increase in the amount of multimedia data being streamed over the Internet. At the same time, we are also witnessing a change in the way quality of any particular service is interpreted, with more emphasis being given to the end-users. Thus, silently there has been a paradigm shift from the traditional Quality of Service approach (QoS) towards a Quality of Experience (QoE) model while evaluating the service quality. A lot of work that tries to evaluate the quality of audio, video, and multimedia services over the Internet has been done. At the same time, research is also going on trying to map the two different domains of quality metrics, i.e., the QoS and QoE domain. Apart from the work done by individual researchers, the International Telecommunications Union (ITU) has been quite active in this area of quality assessment. This is obvious from the large number of ITU standards that are available for different application types. The sheer variety of techniques being employed by ITU as well as other researchers sometimes tends to be too complex and diversified. Although there are survey papers that try to present the current state of the art methodologies for video quality evaluation, none has focused on the ITU perspective. In this work, we try to fill up this void by presenting up-to-date information on the different measurement methods that are currently being employed by ITU for a video streaming scenario. We highlight the outline of each method with sufficient detail and try to analyze the challenges being faced along with the direction of future research.

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Section: Qoe Assessment Methodologiesmentioning

confidence: 99%

A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective

Pal

Triyason

2018

International Journal of Digital Multimedia Broadcasting

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“…With the advancement of virtualization and data management capabilities, virtualized probes [60] can be used to provide efficient QoE monitoring mechanisms in future softwarized networks. The collected network-level Key Performance Indicators (KPIs), e.g., throughput, packet loss, delay or user-level service/application specific Key Quality Indicators (KQIs), e.g., frame rate, video resolution, service usability, and reliability, provide inputs for QoE estimation models [48], [61].…”

Section: Qoe Monitoring and Measurementmentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

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168

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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“…The growing use and applications of mobile wireless devices such as tablets, smartphones and wearable monitoring tools has resulted in services to become increasingly real time and requiring larger bandwidth [1]. Furthermore the transmission of multimedia services over these devices necessitates convergence of fixed and mobile networks resulting in challenges in manners their performance is monitored [2].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

Salama¹,

Saatchi²,

Burke³

2018

Preprint

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Abstract:Organisations and individuals are increasingly relying on large computer networks to access information and to communicate multimedia type data. To assess the effectiveness of these networks, the traffic parameters need to be analysed. Due to quantity of the information carrying packets, examining each packet's transmission parameters individually is not practical, especially in real time. Sampling techniques allow a subset of packets that accurately represents the original traffic to be examined and thus they are important in multimedia networks. In this study an adaptive sampling technique based on regression and fuzzy inference system was developed. The technique dynamically updates the number of packets sampled by responding to the traffic's variations. Its performance was found to be superior to the conventional non-adaptive sampling methods.

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Challenges of future multimedia QoE monitoring for internet service providers

Cited by 45 publications

References 33 publications

A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective

A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Fuzzy logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

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