Application of Meta-Heuristics in 5G Network Slicing: A Systematic Review of the Literature

Gomes, Rayner; Vieira, Dário; Castro, Miguel

doi:10.3390/s22186724

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…The 5G networks introduce the idea of network slicing, which helps vertical businesses meet their varied needs. With network slicing, a single physical infrastructure can be partitioned into many, autonomous virtual slices, each of which can have its own set of performance characteristics and set of resources [7]. Network functions virtualization (NFV) and software-defined networking (SDN) are just two examples of the technologies that have helped with the creation and management of virtual functions in network slices.…”

Section: Requirementsmentioning

confidence: 99%

Towards an Optimal Cloud-Based Resource Management Framework for Next-Generation Internet with Multi-Slice Capabilities

AlQahtani

2023

Future Internet

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With the advent of 5G networks, the demand for improved mobile broadband, massive machine-type communication, and ultra-reliable, low-latency communication has surged, enabling a wide array of new applications. A key enabling technology in 5G networks is network slicing, which allows the creation of multiple virtual networks to support various use cases on a unified physical network. However, the limited availability of radio resources in the 5G cloud-Radio Access Network (C-RAN) and the ever-increasing data traffic volume necessitate efficient resource allocation algorithms to ensure quality of service (QoS) for each network slice. This paper proposes an Adaptive Slice Allocation (ASA) mechanism for the 5G C-RAN, designed to dynamically allocate resources and adapt to changing network conditions and traffic delay tolerances. The ASA system incorporates slice admission control and dynamic resource allocation to maximize network resource efficiency while meeting the QoS requirements of each slice. Through extensive simulations, we evaluate the ASA system’s performance in terms of resource consumption, average waiting time, and total blocking probability. Comparative analysis with a popular static slice allocation (SSA) approach demonstrates the superiority of the ASA system in achieving a balanced utilization of system resources, maintaining slice isolation, and provisioning QoS. The results highlight the effectiveness of the proposed ASA mechanism in optimizing future internet connectivity within the context of 5G C-RAN, paving the way for enhanced network performance and improved user experiences.

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Section: Requirementsmentioning

confidence: 99%

Towards an Optimal Cloud-Based Resource Management Framework for Next-Generation Internet with Multi-Slice Capabilities

AlQahtani

2023

Future Internet

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“…Reasonable resource allocation can not only better satisfy the Quality of Service (QoS) of users, but also improve the cost-effectiveness ratio of operators' revenue [4][5][6]. Researchers have established the resource allocation problem of network slices as a linear programming model to obtain the expected goal [7,8], and the same idea has been adopted for the security embedding problem of virtual networks. By describing the security embedding strategy as a constraint or an objective function, researchers can obtain the expected security deployment results.…”

Section: Related Researchmentioning

confidence: 99%

Network slice deployment method for cryptographic computing isolation requirements

Wang

Zhao

Sun

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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In order to enhance the isolation security of 5G cryptographic computing, a network slice deployment method for cryptographic computing isolation was proposed in this paper. Firstly, based on hardware cryptographic virtualization technology, the Network Function Virtualization (NFV) architecture based on cryptographic card virtualization was designed in this paper. By analyzing the characteristics of cryptographic calculation of different Virtual Network Function (VNF) requirement in 5G network slices, the allocation policies of cryptographic resources are set. Then, the deployment method was established as a mixed integer programming model, taking the deployment cost as the objective function, and reducing the deployment cost of network slice by minimizing the objective function. Finally, genetic algorithm is used to simulate the model. Experiments show that the proposed method reduces the deployment cost on the premise of ensuring security.

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Novel Initialization Functions for Metaheuristic-Based Online Virtual Network Embedding

Rubio-Loyola,

Aguilar-Fuster

2024

J Netw Syst Manage

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Virtual network embedding (VNE) is the process of allocating resources in a substrate (i.e. physical) network to support virtual networks optimally. The VNE problem is an NP-hard problem that has been studied for more than a decade in the continuous seek to maximize the revenue of physical infrastructures with more efficient VNE solutions. Metaheuristics have been widely used in online VNE as they incorporate mechanisms to avoid local optimum solutions, explore larger search spaces, and keep acceptable execution times. All metaheuristic optimization algorithms require initialization for which the vast majority of online VNE solutions implement random initialization. This paper proposes three novel initialization functions namely, Initialization Based on Node Selection (IFNS), Initialization Function Based on Community Detection (IFCD), and Initialization Function Based on Previous Solutions (IFPS), intending to enhance the performance of the online VNE process. Through simulation, our initialization functions have been proven to enhance the acceptance rate, revenue, and revenue-to-cost metrics of the VNE process. The enhancements achieved by our initialization functions are statistically significant and their implementation does not add computational overhead to the classic VNE approaches.

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Application of Meta-Heuristics in 5G Network Slicing: A Systematic Review of the Literature

Cited by 5 publications

References 34 publications

Towards an Optimal Cloud-Based Resource Management Framework for Next-Generation Internet with Multi-Slice Capabilities

Towards an Optimal Cloud-Based Resource Management Framework for Next-Generation Internet with Multi-Slice Capabilities

Network slice deployment method for cryptographic computing isolation requirements

Novel Initialization Functions for Metaheuristic-Based Online Virtual Network Embedding

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