Robust Controller Placement and Assignment in Software-Defined Cellular Networks

Abdel-Rahman, Mohammad J.; Mazied, EmadelDin A.; Teague, Kory; MacKenzie, Allen B.; Midkiff, Scott F.

doi:10.1109/icccn.2017.8038439

Cited by 31 publications

(28 citation statements)

References 30 publications

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“…Concerning NFV, placing the NFVO and VNFM in a largescale distributed system is a very challenging task, due to the negative impact on performance and operational cost [372]. Therefore, efficient placement of VNF nodes on the NFVI especially for scenarios such as users served by mobile IoTenabled devices or users traveling in train at high speed plays a crucial role in reducing latency and further improving the end-users' QoE.…”

Section: F Scalability Resilience and Optimization In Future Softwmentioning

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

168

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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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Section: F Scalability Resilience and Optimization In Future Softwmentioning

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

168

View full text Add to dashboard Cite

show abstract

“…Recently, the placement problem has been investigated in other network domains, such as wireless networks [31,32], cellular networks [33] and vehicular networks [15]. The problem is different from the wired network case, especially when the considered south-bound interface is wireless.…”

Section: Related Workmentioning

confidence: 99%

“…The quality of wireless links is a key element in determining the subset of links to activate [31]. The user location is also crucial in deriving the eNodeB request rate in cellular networks [33].…”

Section: Related Workmentioning

confidence: 99%

Towards Dynamic Controller Placement in Software Defined Vehicular Networks

Toufga

Abdellatif

Assouane

et al. 2020

Sensors

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The emerging SDVN (Software Defined Vehicular Network) paradigm promises to bring flexibility and efficient resource utilization to vehicular networks, enabling the emergence of novel Intelligent Transportation Services. However, as it was initially designed with wired network in mind, applying the SDN paradigm to a vehicular context faces new challenges related to the peculiar characteristics of this network (high node mobility and node density, and the presence of wireless links). In this paper, we focus on one of the critical architectural elements of SDVN, namely, the SDN Controller Placement, and promote the use of dynamic placement methods that take into account the dynamicity of vehicular networks' topology. We also describe the different approaches towards a dynamic controller placement and also propose an ILP (Integer Linear Programming) based dynamic placement method that adaptively readjusts the number and placement of controllers according to road traffic fluctuations. The proposed method is evaluated using a realistic traffic trace from Luxembourg City. Simulation results show that our approach outperforms the static approach as proposed in the literature.Most existing research work have been elaborated on the opportunities that the SDVN concept could bring when applied to vehicular networks [10]. However, some challenges need to be addressed to reach these expected opportunities. Among these challenges, we mention firstly, the network topology discovery, which is a crucial service in the Software Defined Vehicular Netowrk (SDVN) system [11]. Its main goal is to build and maintain an up-to-date view of the underlying network. The density and high mobility of vehicles make the design of this service a challenging task. Secondly, the connectivity between the vehicles and their controller is partly wireless [12]. In fact, vehicles can go through areas without network coverage, this could make the controller temporarily unreachable, which may impact network performance. Thirdly, the mobility of vehicles can result in frequent changes of their attached SDN controller. This impacts the established sessions with the initial controller, as well as an increase of network overhead due to inter-controller vehicles information exchange. The SDN controller placement is a key architectural element that can help mitigating the above mentioned challenges. It consists of computing the number of SDN controllers to deploy and derive their placement in the network. This choice must be done appropriately given the critical role of an SDN controller in this architecture. First, wireless link connectivity and quality must be considered in order to minimize the connectivity losses between vehicles and their controllers. Second, the SDN Controller coverage should be defined carefully taking into account the density and mobility of vehicles. This helps avoiding SDN controllers' overload as well as improving the performance of vehicle-to-controller communications, and also, minimizing the number of changes in the set of deploy...

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“…On the other hand, the CPP problem for I-WCP should also be studied thoroughly to address the uncertainties of the wireless environment in the WDP. Abdel-Rahman et al (2017b) took a step in this direction by addressing the uncertainty of the BS load distribution due to the stochasticity of the mobile users' activity within each cell. However, there are still different aspects that need to be examined, such as examining the placement problem where two sources of uncertainties are present (e.g., the uncertainty of the BS load distribution in addition to the uncertainty of retransmission rate).…”

Section: Direct or Indirect Wcpmentioning

confidence: 99%

The wireless control plane: An overview and directions for future research

Mazied

ElNainay

Abdel-Rahman

et al. 2019

Journal of Network and Computer Applications

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Software-defined networking (SDN), which has been successfully deployed in the management of complex data centers, has recently been incorporated into a myriad of 5G networks to intelligently manage a wide range of heterogeneous wireless devices, software systems, and wireless access technologies. Thus, the SDN control plane needs to communicate wirelessly with the wireless data plane either directly or indirectly. The uncertainties in the wireless SDN control plane (WCP) make its design challenging. Both WCP schemes (direct WCP, D-WCP, and indirect WCP, I-WCP) have been incorporated into recent 5G networks; however, a discussion of their design principles and their design limitations is missing. This paper introduces an overview of the WCP design (I-WCP and D-WCP) and discusses its intricacies by reviewing its deployment in recent 5G networks. Furthermore, to facilitate synthesizing a robust WCP, this paper proposes a generic WCP framework using deep reinforcement learning (DRL) principles and presents a roadmap for future research.

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Robust Controller Placement and Assignment in Software-Defined Cellular Networks

Cited by 31 publications

References 30 publications

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

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

Towards Dynamic Controller Placement in Software Defined Vehicular Networks

The wireless control plane: An overview and directions for future research

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