QoE-Aware OTT-ISP Collaboration in Service Management

Floris, Alessandro; Ahmad, Arslan; Atzori, Luigi

doi:10.1145/3183517

Cited by 18 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The QoE based service delivery in 5G network requires the inclusion of the QoE monitoring and QoE management concepts in the network management and orchestration paradigm [351] . In the era of the end-to-end encryption of the OTT services, the QoE monitoring and measurement requires a collaboration between the OTT and ISP/MNOs for the information exchange regarding QoE influencing factors which are in hands of OTT provider due to the fact that OTT application runs in the users terminals [47,352,353] . Regarding collaborative QoE monitoring, the approaches in [354,355] propose the installation of the passive monitoring probes with OTT applications at the UE (user terminal) and exchange of information via cloud databases with ISPs/MNOs.…”

Section: Ott-isp Collaboration For Qoe-based Service Management In 5gmentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

show abstract

Section: Ott-isp Collaboration For Qoe-based Service Management In 5gmentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similarly, Netflix is providing private peering connections and SSs to the collaborating ISPs under the Netflix Open Connect program 3 . However, in the collaboration scheme mentioned above, the ISPs only have multi-hop peering connections with the Autonomous System (AS) 4 . The ISPs can host the SSs in the network edges, but the OTTP manage the distribution of the content in the SSs and the assignment of the appropriate SS to the end users.…”

Section: Multimedia Delivery Chain and Service Management Issuesmentioning

confidence: 99%

“…The cloud and peering exchanges may provide an opportunity for information exchange among the OTTP and ISPs. The work in [4] proposed the use of cloud databases for the storage and retrieval of information exchange between OTTP and ISP to perform control actions in case of quality degradation. However, research needs to be conducted to validate the viability of the solutions by taking into account the E2E delay involved in the data retrieval from the cloud/fog databases until the activation of the control actions.…”

Section: Video Encodingmentioning

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

Self Cite

160

View full text Add to dashboard Cite

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.

show abstract

“…Various studies have been conducted on pricing systems related to content providers, network operators, and service users based on net neutrality. These include a study based on QoS [9], a study based on the quality of experience [27], a study using shadow prices [28], and a study based on CDNs [29] or software defined networks [30] (see Section 2.1 of our previous study [13] for a brief description of these constructs). Although there are differences in these detailed methods, most studies have proposed pricing schemes based on network use per user per month.…”

Section: Ott Servicesmentioning

confidence: 99%

A Heterogeneous Learning Framework for Over-the-Top Consumer Analysis Reflecting the Actual Market Environment

Choi

Kim

2021

Applied Sciences

View full text Add to dashboard Cite

The over-the-top (OTT) market for media consumption over wired and wireless Internet is growing. It is, therefore, crucial that service providers and carriers participating in the OTT market analyze consumer traffic for pricing, service delivery, infrastructure investments, etc. The OTT market has many consumer groups, but the proportion of users is not consistent in each. Furthermore, as multimedia consumption has increased owing to the COVID-19 epidemic, the OTT market has changed rapidly. If this is not reflected, the analysis will not be accurate. Therefore, we propose a framework that can classify consumers well based on actual OTT market environment conditions. First, by applying our proposed conditional probability-based method to basic machine learning techniques, such as support vector machine, k-nearest neighbor, and decision tree, we can improve the classification performance, even for an imbalanced OTT consumer distribution. Then, it is possible to analyze the changing consumer trends by dynamically retraining the incoming OTT consumer data. Conventional methods result in low classification accuracy in low-number classes, but our method shows an improvement of 5.3–19.2% based on recall. Moreover, conventional methods have shown large fluctuations in performance as the OTT market environment has changed, but our framework consistently maintains high performance.

show abstract

QoE-Aware OTT-ISP Collaboration in Service Management

Cited by 18 publications

References 28 publications

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

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

A Heterogeneous Learning Framework for Over-the-Top Consumer Analysis Reflecting the Actual Market Environment

Contact Info

Product

Resources

About