SDN/NFV-Based Network Resource Management for Converged Optical-Wireless Network Architectures

Mosahebfard, Mohammadreza; Vardakas, John S.; Ramantas, Kostas; Verikoukis, Christos

doi:10.1109/icton.2019.8840347

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Finally, our previous work in [25] targets to efficiently allocate both optical and wireless resources in an SDN/NFVbased converged optical-wireless network architecture, by determining the slices of the network in a way that the specific delay and bandwidth requirements of the multiple services are met. However, this approach is simulation-oriented, which significantly limits the flexibility when applied to different network configurations, and thus it cannot be used for network dimensioning purposes.…”

Section: A Related Workmentioning

confidence: 99%

Modelling the Admission Ratio in NFV-Based Converged Optical-Wireless 5G Networks

Mosahebfard

Vardakas

Verikoukis

2021

IEEE Trans. Veh. Technol.

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Network Function Virtualization (NFV)-based 5G networks deliver specific services to a set of users through the creation of Service Function Chains (SFCs), which are composed of a number of Virtualized Network Functions (VNFs) interconnected via a set of virtual links (vLinks). VNFs consume computational resources of the network's servers, while vLinks utilize the communicational resources of the network. The efficient utilization of network resources remains a challenge in NFV-based networks. To this end, in this paper, we propose an analytical framework for the calculation of the Admission Ratio (AR) in NFV-based converged optical-wireless 5G networks. The proposed methodology employs a network slicing architecture in which different network slices form end-to-end logically isolated networks and each slice delivers a specific service type to the users through its SFC(s). In the proposed analytical model, we not only take into account the occupancy distribution in both computational and communicational domains of the network resources (servers and fiber links), but we also consider the SFC establishment AR by taking into account different subservice-classes belonging to different slices. The accuracy of the model is evaluated through the comparison of analytical and simulation results and was found satisfactory. Furthermore, the network dimensioning is performed by employing the proposed model for the determination of the optimal (minimum) capacity for all SFCs elements (VNFs and vLinks) in a way that users belonging to a specific slice experience a predefined value of AR as minimum. Additionally, our calculations deploy recursive formulas, which have a low computational complexity, as opposed to time-consuming simulation approaches without requiring the application of complex optimization algorithms.

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Section: A Related Workmentioning

confidence: 99%

Modelling the Admission Ratio in NFV-Based Converged Optical-Wireless 5G Networks

Mosahebfard

Vardakas

Verikoukis

2021

IEEE Trans. Veh. Technol.

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“…The illustration of VNE in FiWi access network [39] is shown in Figure 3. Efficient resource management for both optical and wireless resources of the SDN/NFV-based converged network has been discussed in [40] to guarantee the specific delay and bandwidth requirements of the multiple services of network slices. Furthermore, to centralize control and allocate network and computing resources of converging edge computing over FiWi network, the authors of [41] propose two VNE algorithms to obtain higher revenue and profit ratio.…”

Section: Fiber-wireless Access Networkmentioning

confidence: 99%

Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges

Zong

Feng

Guan

et al. 2020

Sensors

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The emerging 5G applications and the connectivity of billions of devices have driven the investigation of multi-domain heterogeneous converged optical networks. To support emerging applications with their diverse quality of service requirements, network slicing has been proposed as a promising technology. Network virtualization is an enabler for network slicing, where the physical network can be partitioned into different configurable slices in the multi-domain heterogeneous converged optical networks. An efficient resource allocation mechanism for multiple virtual networks in network virtualization is one of the main challenges referred as virtual network embedding (VNE). This paper is a survey on the state-of-the-art works for the VNE problem towards multi-domain heterogeneous converged optical networks, providing the discussion on future research issues and challenges. In this paper, we describe VNE in multi-domain heterogeneous converged optical networks with enabling network orchestration technologies and analyze the literature about VNE algorithms with various network considerations for each network domain. The basic VNE problem with various motivations and performance metrics for general scenarios is discussed. A VNE algorithm taxonomy is presented and discussed by classifying the major VNE algorithms into three categories according to existing literature. We analyze and compare the attributes of algorithms such as node and link embedding methods, objectives, and network architecture, which can give a selection or baseline for future work of VNE. Finally, we explore some broader perspectives in future research issues and challenges on 5G scenario, field trail deployment, and machine learning-based algorithms.

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“…The objective was minimizing the usage of fiber, processing, and storage resources while deploying service applications in hierarchically distributed DCs. The authors in [5] considered a wirelessoptical converged network and proposed a slice provisioning algorithm whose aim is to maximize the efficiency in which both optical and wireless resources were used while meeting the delay and bandwidth requirements of the services. Despite the many important challenges addressed in the literature so far, currently, there are no works that focused on optimizing resource efficiency while provisioning 5G services with both latency and availability guarantee.…”

Section: Introductionmentioning

confidence: 99%

End-to-End Provisioning of Latency and Availability Constrained 5G Services

2021

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We address a key challenge of 5G networks by proposing a strategy for the resource-efficient and end-to-end allocation of compute and connectivity resources in a dynamic 5G service provisioning scenario, such that the service latency and availability requirements are guaranteed. Our heuristic algorithm shows that resource efficiency is significantly improved by processing services in the large core data centers (DCs) with a rich amount of compute resources and exploiting the benefits of traffic grooming over the metro and core fiber links. Moreover, our resource-efficient provisioning algorithm avoids possible violation of the service availability requirements caused by reaching the central DC locations by adding backup connectivity resources. Our simulation results demonstrate a resource efficiency improvement reflected by lowering the service blocking probability by up to four orders of magnitude compared to the conventional service provisioning methods utilizing distributed small DCs.

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SDN/NFV-Based Network Resource Management for Converged Optical-Wireless Network Architectures

Cited by 8 publications

References 5 publications

Modelling the Admission Ratio in NFV-Based Converged Optical-Wireless 5G Networks

Modelling the Admission Ratio in NFV-Based Converged Optical-Wireless 5G Networks

Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges

End-to-End Provisioning of Latency and Availability Constrained 5G Services

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