QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Ge, Chang; Wang, Ning; Skillman, Severin; Foster, G.; Cao, Yue

doi:10.1145/2984356.2988522

Cited by 54 publications

(31 citation statements)

References 13 publications

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“…These information are used to make decisions on video quality adaptation and caching. In [26], the authors proposed an MEC caching scheme which considers 1) per-segment, perquality popularity of videos; and 2) RAN condition when making caching decisions. However, as discussed in Section I, while caching works especially well for popular videos, not all videos can be cached at the network edge.…”

Section: Video Qoe Improvement Techniquesmentioning

confidence: 99%

Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching

Wang

Foster

et al. 2017

IEEE Trans. Multimedia

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Abstract-Internet video streaming applications have been demanding more bandwidth and higher video quality, especially with the advent of Virtual Reality (VR) and Augmented Reality (AR) applications. While adaptive streaming protocols like MPEG-DASH (Dynamic Adaptive Streaming over HTTP) allows video quality to be flexibly adapted, e.g., degraded when mobile network condition deteriorates, this is not an option if the application itself requires guaranteed 4K quality at all time. On the other hand, conventional end-to-end TCP has been struggling in supporting 4K video delivery across long-distance Internet paths containing both fixed and mobile network segments with heterogeneous characteristics. In this paper, we present a novel and practically-feasible system architecture named MVP (Mobile edge Virtualization with adaptive Prefetching), which enables content providers to embed their content intelligence as a virtual network function (VNF) into the mobile network operator's (MNO) infrastructure edge. Based on this architecture, we present a context-aware adaptive video prefetching scheme in order to achieve QoE-assured 4K video on demand (VoD) delivery across the global Internet. Through experiments based on a real LTE-A network infrastructure, we demonstrate that our proposed scheme is able to achieve QoE-assured 4K VoD streaming, especially when the video source is located remotely in the public Internet, in which case none of the state-of-the-art solutions is able to support such an objective at global Internet scale.Index Terms-MPEG-DASH, mobile edge computing, network function virtualization, prefetching, quality of experience, video on demand

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Section: Video Qoe Improvement Techniquesmentioning

confidence: 99%

Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching

Wang

Foster

et al. 2017

IEEE Trans. Multimedia

Self Cite

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“…This is done intentionally, so that our results are not affected by the caching algorithm in place. However, a number of proposed caching techniques could be used to improve the network performance even more [32]- [35].…”

Section: Simulation Scenarios and Resultsmentioning

confidence: 99%

Toward information-centric software-defined cellular networks

Moscholios

Alzahrani

Logothetis

2017

2017 14th International Conference on Telecommunications (ConTEL)

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Abstract-The concept of software-defined networking (SDN) is able to offer important advantages over the traditional communication paradigms. This is achieved by decoupling the decisionmaking process from the underlying network infrastructure that forwards the traffic. Recently, there have been efforts in applying the SDN approach to wireless and cellular networks. In fact, SDN is considered as one of the key enablers for future 5G communication networks. Information-centric networking (ICN) is another emerging communication paradigm that has been proposed to improve the content delivery efficiency compared to the traditional host-centric communication protocols. ICN decouples the data from their location, application, and means of transportation. This feature makes ICN particularly suitable for efficient dissemination of large volumes of data, especially in highly dynamic and heterogeneous mobile environments. In this work, we consider an SDN-enabled cellular network and propose an ICN protocol to ensure fast and efficient content dissemination to mobile users. The proposed protocol has been evaluated by means of computer simulations for the use case of a live video streaming service. Our experimental results show significant improvements in terms of response times over the current long-term evolution (LTE) networks.

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“…This framework integrates SDN, MEC and ICN to enable the dynamic orchestration of different resources in next generation green wireless networks. A MEC-enabled ICN-based content handling framework at the mobile network edge is presented in [186]. The proposed framework realizes context-aware content localization in order to enhance user QoE in video distribution applications.…”

Section: Information Centric Networkingmentioning

confidence: 99%

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

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

647

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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QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Cited by 54 publications

References 13 publications

Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching

Toward QoE-Assured 4K Video-on-Demand Delivery Through Mobile Edge Virtualization With Adaptive Prefetching

Toward information-centric software-defined cellular networks

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

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