Resource allocation for edge computing over fibre‐wireless access networks

Wang, Qingtian; Shou, Guochu; Liu, Jing; Liu, Yaqiong; Hu, Yihong; Guo, Zhouyi

doi:10.1049/iet-com.2019.0101

Cited by 5 publications

(3 citation statements)

References 29 publications

(42 reference statements)

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“…Even though profit generation was always a factor in performance optimization for network operators, the shift in the architecture with network virtualization makes dynamic revenue gains an apparent performance criteria for resource allocation. This shift transforms the network into a market interaction between different stakeholders that aim to profit from the available physical and virtual resources [93,94] in a dynamic way. In [94], a VNE problem is analyzed for FiWi hybrid nodes that have abstracted physical optical and wireless resources.…”

Section: Selected Papersmentioning

confidence: 99%

“…This shift transforms the network into a market interaction between different stakeholders that aim to profit from the available physical and virtual resources [93,94] in a dynamic way. In [94], a VNE problem is analyzed for FiWi hybrid nodes that have abstracted physical optical and wireless resources. The main objective is to maximize profit by considering the gains of service requests and costs of the physical plane including networking and edge computing servers' resources.…”

Section: Selected Papersmentioning

confidence: 99%

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Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

2021

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Three convergent processes are likely to shape the future of the internet beyond-5G: The convergence of optical and millimeter wave radio networks to boost mobile internet capacity, the convergence of machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management. The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge key resources similar to the available bandwidth in network communication channels. Aiming to understand the relationship between resource management, virtualization, and the dense 5G access and fronthaul with an emphasis on converged radio and optical communications, this article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. A research agenda is also proposed by identifying current state-of-the-art solutions and the need to shift all the convergent issues towards building an advanced resource management mechanism for beyond-5G.

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Section: Selected Papersmentioning

confidence: 99%

Section: Selected Papersmentioning

confidence: 99%

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

2021

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“…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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Resource scheduling methods in cloud and fog computing environments: a systematic literature review

et al. 2021

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Resource allocation for edge computing over fibre‐wireless access networks

Cited by 5 publications

References 29 publications

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

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

Resource scheduling methods in cloud and fog computing environments: a systematic literature review

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