QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV

Peng, Shuping; Fajardo, José Oscar; Khodashenas, Pouria Sayyad; Blanco, Bego; Liberal, Fidel; Ruiz, Cristina; Turyagyenda, Charles; Wilson, Mick; Vadgama, Sunil

doi:10.1155/2017/3961689

Cited by 22 publications

(21 citation statements)

References 3 publications

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“…Many recent research works justify the added benefits of the combine use of SDN and MEC in IoT systems [168]- [175]. The role of NFV and SDN in MEC ecosystem is discussed in [168]. SDN can be also used to make MEC more flexible and cost-effective for 5G applications.…”

Section: B Software Defined Networkingmentioning

confidence: 99%

See 1 more Smart Citation

Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

623

328

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The Internet of Things (IoT) has recently advanced from an experimental technology to what will become the backbone of future customer value for both product and service sector businesses. This underscores the cardinal role of IoT on the journey towards the fifth generation (5G) of wireless communication systems. IoT technologies augmented with intelligent and big data analytics are expected to rapidly change the landscape of myriads of application domains ranging from health care to smart cities and industrial automations. The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identified as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of myriads of applications and services with demand for ultra low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations. In this survey, we provide a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies. We further discuss the technical aspects of enabling MEC in IoT and provide some insight into various other integration technologies therein.

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Section: B Software Defined Networkingmentioning

confidence: 99%

“…General IoT [168] Discuss the role of NFV and SDN in MEC and IoT ecosystem. General IoT [169] Present SDN-MEC based Real-time Heart Attack Mobile Detection Service (RHAMDS) by using smart watches.…”

Section: Network Slicingmentioning

confidence: 99%

Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

623

328

View full text Add to dashboard Cite

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“…Wang et al [19] 2016 Architecture for personalized QoE management Yes No No Peng et al [35] 2017 QoE-oriented mobile edge service management Yes MEC only No Sousa et al [26] 2017 QoE-based scheduling strategies No No No Skorin-Kapov et al [25], Petrangeli et al [31] 2018…”

Section: No Nomentioning

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

160

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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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“…A collaboration model between OTT parties and Internet Service Providers (ISPs) is also described in [32], but from a revenue perspective, thus, proving the concept, viability and mutual benefit of such collaboration paradigms. Also, [33], explores the MEC paradigm, proposing a reference architecture for orchestration and management, where Channel State Information (CSI) is sampled to enforce service-level management.…”

Section: Related Workmentioning

confidence: 99%

QoE-SDN APP: A Rate-guided QoE-aware SDN-APP for HTTP Adaptive Video Streaming

Liotou

Samdanis

Pateromichelakis

et al. 2018

IEEE J. Select. Areas Commun.

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While video streaming has dominated the Internet traffic, Video Service Providers (VSPs) compete on how to assure the best Quality of Experience (QoE) to their customers. HTTP Adaptive Streaming (HAS) has become the de facto way that helps VSPs work-around potential network bottlenecks that inevitably cause stallings. However, HAS-alone cannot guarantee a seamless viewing experience, since this highly relies on the Mobile Network Operators' (MNOs) infrastructure and evolving network conditions. Software-Defined Networking (SDN) has brought new perspectives to this traditional paradigm where VSPs and MNOs are isolated, allowing the latter to open their network for more flexible, service-oriented programmability. This paper takes advantage of recent standardization trends in SDN and proposes a programmable QoE-SDN APP, enabling network exposure feedback from MNOs to VSPs towards network-aware video segment selection and caching, in the context of HAS. The video selection problem is formulated using Knapsack optimization and relaxed to partial sub-problems that provide segment encodings that can mitigate stallings. Furthermore, a mobility prediction mechanism based on the SLAW model is introduced, towards proactive segment caching.

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QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV

Cited by 22 publications

References 3 publications

Survey on Multi-Access Edge Computing for Internet of Things Realization

Survey on Multi-Access Edge Computing for Internet of Things Realization

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

QoE-SDN APP: A Rate-guided QoE-aware SDN-APP for HTTP Adaptive Video Streaming

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