Smart routing: Fine-grained stall management of video streams in mobile core networks

He, Jun; Song, Wei

doi:10.1016/j.comnet.2015.04.012

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…SFC concepts based on SDN can be applied in LTE environment to enforce packets among a logical network graph and achieve certain service functionality among the virtualized components such as Business Support Systems (BSS), Home Subscriber Server (HSS) and RAN . The SDN controller role has been investigated in the literature along with some experimental implementations in the industry sector . However, bridging the gap between VNF development in a mix cloud and telco ecosystem while offering the ground for a networking solution and traffic steering based on SDN is yet a virgin area and main targeted use case in the SESAME framework.…”

Section: Network Function Virtualisation Orchestration and Service Fumentioning

confidence: 99%

The emergence of operator‐neutral small cells as a strong case for cloud computing at the mobile edge

Giannoulakis

Kafetzakis²,

Trajkovska

et al. 2016

Trans. Emerging Tel. Tech.

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Small cells have emerged as a useful tool for supporting increased network capacity through network densification, but they can also be used to support edge cloud computing services. In this paper, we provide a preview of an innovative concept that tackles the consolidation of multi‐tenancy in such type communications infrastructures, as well as the placement of network intelligence and applications in the network edge. After surveing the challenges and the enabling technologies, we present the envisaged architecture to manage and control the Cloud‐Enabled Small Cell infrastructure. Also, at the operation level, we explain the potential advantages of adopting the proposed solutions on the long‐term evolution access networks. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Network Function Virtualisation Orchestration and Service Fumentioning

confidence: 99%

The emergence of operator‐neutral small cells as a strong case for cloud computing at the mobile edge

Giannoulakis

Kafetzakis²,

Trajkovska

et al. 2016

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

show abstract

“…Among them, the wireless access network is composed of base stations, which are responsible for the access of mobile terminals [10][11][12]. e mobile core network is composed of a bunch of high-performance routers and servers, which are responsible for connecting the wireless base station to the external network [13][14][15]. e application network is where all kinds of application servers work, in fact, all kinds of data centres, servers, and even PCs [16,17].…”

Section: Introductionmentioning

confidence: 99%

On Improving the Robustness of MEC with Big Data Analysis for Mobile Video Communication

Zhao

Zeng

Liu

et al. 2021

Security and Communication Networks

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Mobile video communication and Internet of Things are playing a more and more important role in our daily life. Mobile Edge Computing (MEC), as the essential network architecture for the Internet, can significantly improve the quality of video streaming applications. The mobile devices transferring video flow are often exposed to hostile environment, where they would be damaged by different attackers. Accordingly, Mobile Edge Computing Network is often vulnerable under disruptions, against either natural disasters or human intentional attacks. Therefore, research on secure hub location in MEC, which could obviously enhance the robustness of the network, is highly invaluable. At present, most of the attacks encountered by edge nodes in MEC in the IoT are random attacks or random failures. According to network science, scale-free networks are more robust than the other types of network under the random failures. In this paper, an optimization algorithm is proposed to reorganize the structure of the network according to the amount of information transmitted between edge nodes. BA networks are more robust under random attacks, while WS networks behave better under human intentional attacks. Therefore, we change the structure of the network accordingly, when the attack type is different. Besides, in the MEC networks for mobile video communication, the capacity of each device and the size of the video data influence the structure significantly. The algorithm sufficiently takes the capability of edge nodes and the amount of the information between them into consideration. In robustness test, we set the number of network nodes to be 200 and 500 and increase the attack scale from 0% to 100% to observe the behaviours of the size of the giant component and the robustness calculated for each attack method. Evaluation results show that the proposed algorithm can significantly improve the robustness of the MEC networks and has good potential to be applied in real-world MEC systems.

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“…SFC concepts based on SDN can be applied in LTE environment to enforce the packets among a logical network graph and achieve certain service functionality among the virtualised components such as BSS, HSS, RAN etc [23]. The role of the controller in this holistic approach has been analysed in the literature and some experimental and industry implementations already have been presented [24][25][26][27][28]. However SFC solution based on SDN in this scenario is an unexplored area and potentially one of the use cases to be addressed.…”

Section: Introducing Mobile Edge Services Into Cloud-enabled Small Cellsmentioning

confidence: 99%

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

et al. 2016

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Abstract:Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing units and remote radio headers makes it possible to process some of the protocols in centralised premises, likely with virtualised resources. On the other hand, mobile edge computing makes use of processing and storage capabilities close to the air interface in order to deploy optimised services with minimum delay. The confluence of both trends is a hot topic in the definition of future 5G networks. The full centralisation of both technologies in cloud data centres imposes stringent requirements to the fronthaul connections in terms of throughput and latency. Therefore, all those cells with limited network access would not be able to offer these types of services. This paper proposes a solution for these cases, based on the placement of processing and storage capabilities close to the remote units, which is especially well suited for the deployment of clusters of small cells. The proposed cloudenabled small cells include a highly efficient microserver with a limited set of virtualised resources offered to the cluster of small cells. As a result, a light data centre is created and commonly used for deploying centralised eNB and mobile edge computing functionalities. The paper covers the proposed architecture, with special focus on the integration of both aspects, and possible scenarios of application.

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Smart routing: Fine-grained stall management of video streams in mobile core networks

Cited by 3 publications

References 28 publications

The emergence of operator‐neutral small cells as a strong case for cloud computing at the mobile edge

The emergence of operator‐neutral small cells as a strong case for cloud computing at the mobile edge

On Improving the Robustness of MEC with Big Data Analysis for Mobile Video Communication

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

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