QoE-Based Network and Application Management

Schatz, Raimund; Fiedler, Markus; Skorin‐Kapov, Lea

doi:10.1007/978-3-319-02681-7_28

Cited by 16 publications

(18 citation statements)

References 51 publications

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“…QoE management mechanisms commonly refer to some form of network or service management decisions which are driven by the aim of optimizing end user QoE [7], [1]. Examples include QoE-driven resource allocation mechanisms, service adaptation mechanisms, etc.…”

Section: Background and Related Workmentioning

confidence: 99%

No silver bullet: QoE metrics, QoE fairness, and user diversity in the context of QoE management

Hosfeld¹,

Heegaard

Skorin‐Kapov

et al. 2017

2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)

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Managing QoE is one of the most interesting direct applications of workable QoE models. Indeed, being able to predict how users perceive the quality of a service allows the service provider(s) to optimize its delivery, based on several possible criteria. It has been argued, however, that the MOS is illsuited for this type of application, and that different measurese.g., rating distributions or quantiles -are better suited for the task. In this paper we build on these ideas by adding the notions of QoE fairness (as opposed to QoS fairness) and user diversity, and discuss how the choice of measures used, the importance of fairness, and how the variations between users can affect the optimal QoE management choices for service providers.

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Section: Background and Related Workmentioning

confidence: 99%

No silver bullet: QoE metrics, QoE fairness, and user diversity in the context of QoE management

Hosfeld¹,

Heegaard

Skorin‐Kapov

et al. 2017

2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)

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“…According to [15], QoE-management is a process aiming at maximizing user satisfaction while at the same time maximizing resource efficiency and economy. The majority of QoEmanagement systems views this process as an optimization process conducted unilaterally by the provider [16].…”

Section: A Quality Of Experiencementioning

confidence: 99%

Multi-agent Systems for Personalized QoE-Management

Najjar

Serpaggi

Gravier

et al. 2016

2016 28th International Teletraffic Congress (ITC 28)

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International audienceUser satisfaction is becoming a key factor to secure the success of any online service. Quality of Experience is a subjective measure of the service quality as perceived by the user. QoE has been introduced to bridge the gap between the purely technical characteristics of QoS and user satisfaction. Recent research on QoE has shown that QoE is highly personal and influenced by multiple interrelated factors including the user expectations, preferences and cultural background. However, most existing QoE management solutions overlook the personal aspect of QoE and ignore inter-user differences despite the promise of adopting a user-centric approach. In this paper, we propose multi-agent technology as means to achieve personalized QoE-management. In particular, we propose a multi-agent architecture called EMan where each end-user is embodied by an autonomous agent that represents her personal preferences and expectations and seeks to maximize her QoE. To evaluate our approach, we use Repast, a multi-agent simulation platform. The preliminary results proves that such a decentralized multi-agent QoE-management outperforms an equivalent centralized approach both in terms of end-user satisfaction and service acceptability

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“…In this context, Network and Application Management (NAM) has the potential to resolve this central dilemma by enabling a better match between resource supply and demand on the basis of more informed trade-offs between quality, performance, and economy [66,73,84] based on validated ground truths. NAM is supposed to observe and react quickly to quality problems, at best before customers perceive them and decide to churn.…”

Section: Introduction To Qoe Managementmentioning

confidence: 99%

“…AM thus often acts as a "mediator" between network and the end user, while taking other aspects (application, user preferences, context) into account. While AM is being widely used in todays consumer Internet where traffic is transmitted on a "best effort" basis without taking into account the diverse quality requirements of different applications and users, it is only when network and application management are being used in conjunction, that the full potential of NAM can be reached [66,84].…”

Section: Introduction To Qoe Managementmentioning

confidence: 99%

QoE Management for Future Networks

Schatz

Schwarzmann

Zinner

et al. 2018

Lecture Notes in Computer Science

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This chapter discusses prospects of QoE management for future networks and applications. After motivating QoE management, it first provides an introduction to the concept by discussing its origins, key terms and giving an overview of the most relevant existing theoretical frameworks. Then, recent research on promising technical approaches to QoE-driven management that operate across different layers of the networking stack is discussed. Finally, the chapter provides conclusions and an outlook on the future of QoE management with a focus on those key enablers (including cooperation, business models and key technologies) that are essential for ultimately turning QoE-aware network and application management into reality.

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QoE-Based Network and Application Management

Cited by 16 publications

References 51 publications

No silver bullet: QoE metrics, QoE fairness, and user diversity in the context of QoE management

No silver bullet: QoE metrics, QoE fairness, and user diversity in the context of QoE management

Multi-agent Systems for Personalized QoE-Management

QoE Management for Future Networks

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