Deterministic Latency Bounded Network Slice Deployment in IP-over-WDM based Metro-Aggregation Networks
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2022
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Mcode
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Language
en
Pages
12
Series
IEEE Transactions on Network Science and Engineering
Abstract
As a critical enabler of the next generation networks, network slicing can dynamically and flexibly create virtual networks leveraging necessary network resources for services with different quality of service (QoS) requirements. To satisfy the strict QoS requirements of some vertical industries, e.g., industry automation, the Deterministic Network (DetNet) concept has been recently proposed to investigate deterministic service provisioning with bounds on service latency, loss, and jitter. A critical issue for providing deterministic services is to determine the right amount of resources for a network slice to ensure the QoS requirements. In this paper, using the stochastic network calculus (SNC) method, we first obtain the amount of network resource needed for a network slice to ensure an end-to-end latency requirement under specific traffic demands. We then study the network slice deployment problem in an IP-over-WDM (wavelength division multiplexing) metro aggregation networks and propose a heuristic with three different objectives: minimizing traffic hops, minimizing lightpaths and minimizing wavelengths, which can help network service provider to optimize network deployment under different considerations. The simulation results show the comparison of the resource utilization under different strategies.Description
Publisher Copyright: IEEE | openaire: EC/H2020/871780/EU//MonB5G
Keywords
5G, 5G mobile communication, and Network Optimization, Artificial neural networks, Bandwidth, Beyond 5G, Calculus, Deterministic Networking, IP over WDM, Network Slicing, Quality of service, Resource management, Routing, Stochastic Network Calculus
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Citation
Yu, H, Taleb, T, Zhang, J & Wang, H 2022, ' Deterministic Latency Bounded Network Slice Deployment in IP-over-WDM based Metro-Aggregation Networks ', IEEE Transactions on Network Science and Engineering, vol. 9, no. 2, pp. 596-607 . https://doi.org/10.1109/TNSE.2021.3127718
