Resilient and Latency-Aware Orchestration of Network Slices Using Multi-Connectivity in MEC-Enabled 5G Networks

Thiruvasagam, Prabhu Kaliyammal; Chakraborty, Abhishek; Murthy, C. Siva Ram

doi:10.1109/tnsm.2021.3091053

Cited by 28 publications

(9 citation statements)

References 24 publications

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“…When base stations in radio access networks could not connect with SDN controllers, however, how to allocate resources according to QoS requirements becomes a critical problem for base stations in 5G networks. Recent studies like [15], [16] adopted EC to overcome this problem. In [15] that mainly considered 5G combined with IoT, this work designed a latency-based embedding mechanism that can allocate computing tasks between edge nodes according to different latency requirements of data traffic by various IoT devices scattered in wide ranges.…”

Section: B Qos Routing In Sdn and E-sdn Environmentsmentioning

confidence: 99%

“…Together with ongoing development of integrating SDN and EC on the Internet, the evolutive mobile systems also consider the E-SDN architecture for network function and service orchestration in 5G networks with mobile edge computing (MEC) [15], [16]. Recent studies in SDN addressed different network applications such as IoT [17], [18], heterogeneous networks [19], [20], 5G network slicing [21], [22], and MEC-enabled 5G network organization [15], [16]. Compared with prior routing studies mostly dedicated to conventional SDN, our study accounts for QoS routing in integrated E-SDN network environments [23].…”

Section: Introductionmentioning

confidence: 99%

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FitPath: QoS-Based Path Selection With Fittingness Measure in Integrated Edge Computing and Software-Defined Networks

Hsu

Sung

2022

IEEE Access

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Integrating Software-Defined Networking (SDN) and Edge Computing (EC) technologies becomes a promising approach to harness enormous data traffic in the Internet. Recent studies examined the Quality of Service (QoS) based routing paradigms for different data applications such as IoT, heterogeneous networks, and 5G network slicing in such integrated networks. In this paper, our study formulates the QoS-specific routing optimization as a minimum-cost resource allocation problem, while multi-dimensional factors of bandwidth cost, latency, and packet los are jointly considered. Since we use the fittingness factor to help the problem solving, we propose a path selection scheme based on the measure of fittingness factor, briefly named as FitPath. The FitPath scheme can appropriately adjust network resources to maintain delivery time against various service requirements of user demands. Simulation results show that the FitPath scheme can perform better than the Open Shortest Path First (OSPF) and Greedy heuristic schemes in terms of the total of link costs, delivery latency, and packet loss rate under both of normal and heavy data traffic experiments. The effects by the FitPath scheme can be further enhanced with the top-B% path selection policy in integrated network environments.INDEX TERMS Routing, data delivery, path selection, quality of service (QoS), edge computing, (EC) and software-defined networking (SDN).

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Section: B Qos Routing In Sdn and E-sdn Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

FitPath: QoS-Based Path Selection With Fittingness Measure in Integrated Edge Computing and Software-Defined Networks

Hsu

Sung

2022

IEEE Access

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“…To address this, the authors exploit network softwarization technologies to empower 5G devices and have developed 5GSoft, a novel softwarized networking stack on each 5G mobile device. As the failure of a critical network component disrupts services abruptly and leads to users' dissatisfaction, the authors of [4] present a novel approach based on multi-connectivity in 5G networks to tackle this problem and propose an approach that is resilient against i) failure of VNFs, ii) failure of local servers within MEC, iii) failure of communication links, and iv) failure of an entire MEC cloud facility in regional level. The authors present a binary integer program and a polynomial time algorithm to obtain near optimal solutions for the problem.…”

Section: A Resilience In Nfv-based Networkmentioning

confidence: 99%

Guest Editors’ Introduction: Special Section on Design and Management of Reliable Communication Networks

Tornatore

Gomes

Machuca

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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This Special Issue contains a collection of outstanding papers covering several recent advances regarding the design and management of reliable networks. Papers are organized into seven categories: resilience in NFV-based networks; resilient software defined networks; resiliency of optical networks; Internet of Things and safety of critical services; automation and self-diagnostics for resilient network management, robust network design, and wireless and mobile network resilience. In this editorial, a brief overview of the field is given, followed by a summary of the twenty-six papers, accepted for publication in this special issue.

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“…Network slicing is a crucial enabler to support the composition and deployment of virtual network infrastructures required by the dynamic behavior of networks like 5G/6G mobile networks, IoT-aware networks, e-health systems, and industry verticals like the internet of vehicles (IoV) and industry 4.0 [1] [2] [3]. In general, the slicing process results from the need to share resources among existing infrastructures to improve performance, provide cost-efficient solutions, and optimize operation [4].…”

Section: Introductionmentioning

confidence: 99%

On Modeling Network Slicing Communication Resources with SARSA Optimization

Xavier¹,

Agoulmine²,

Martins³

2022

Preprint

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<p>Network slicing is a crucial enabler to support the composition and deployment of virtual network infrastructures required by the dynamic behavior of networks like 5G/6G mobile networks, IoT-aware networks, e-health systems, and industry verticals like the internet of vehicles (IoV) and industry 4.0. The communication slices and their allocated communication resources are essential in slicing architectures for resource orchestration and allocation, virtual network function (VNF) deployment, and slice operation functionalities. The communication slices provide the communications capabilities required to support slice operation, SLA guarantees, and QoS/ QoE application requirements. Therefore, this contribution proposes a networking slicing conceptual model to formulate the optimization problem related to the sharing of communication resources among communication slices. First, we present a conceptual model of network slicing, we then formulate analytically some aspects of the model and the optimization problem to address. Next, we proposed to use a SARSA agent to solve the problem and implement a proof of concept prototype. Finally, we present the obtained results and discuss them.</p>

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Resilient and Latency-Aware Orchestration of Network Slices Using Multi-Connectivity in MEC-Enabled 5G Networks

Cited by 28 publications

References 24 publications

FitPath: QoS-Based Path Selection With Fittingness Measure in Integrated Edge Computing and Software-Defined Networks

FitPath: QoS-Based Path Selection With Fittingness Measure in Integrated Edge Computing and Software-Defined Networks

Guest Editors’ Introduction: Special Section on Design and Management of Reliable Communication Networks

On Modeling Network Slicing Communication Resources with SARSA Optimization

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