Projects per year
Abstract
Network function virtualization (NFV) is a novel concept that enables an architectural transition from dedicated hardware to orchestrated resource and function management. As an integral part of the core network, NFV offers a fine-grained network capability to cellular operators by scaling out or scaling in network resources in an on-demand manner to meet the performance requirements. However, designing an autoscaling algorithm with low operation cost and low latency in non-standalone networks, where legacy network equipment coexists with a virtual evolved packet core (EPC), is a challenging task. In this paper, we propose a dynamic NFV instance autoscaling algorithm that considers the tradeoff between performance and operation cost. Furthermore, we develop an analytical framework to assess the performance of the scheme by modeling the hybrid network as a queueing system that includes both legacy network equipment and NFV instances. The virtualized network function (VNF) instances are powered on or off according to the number of job requests. Numerical results based on extensive simulations validate the correctness of the model and the effectiveness of the algorithm.
Original language | English |
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Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | IEEE Transactions on Vehicular Technology |
Early online date | 17 Jan 2023 |
DOIs | |
Publication status | E-pub ahead of print - 17 Jan 2023 |
Keywords
- 5G mobile communication
- Computational modeling
- Costs
- EPC
- Hardware
- Heuristic algorithms
- NFV instance resource allocation
- Network function virtualization
- Resource management
- dynamic autoscaling algorithm
- modeling and analysis
- network function virtualization
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An Intelligent Data Processing Platform for Smart Manufacturing- An AIoT platform
10/03/22 → 9/03/24
Project: Research
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EPSRC DE Call with Univ of Exeter
Parr, G., Aung, M. H., Milner, B. & Ren, E.
Engineering and Physical Sciences Research Council
1/03/21 → 28/02/26
Project: Research
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Smart Environments Research Facility
Lettice, F., Aung, M. H., Bagnall, T., Buckley, O., Cawley, G., Day, A., De La Iglesia, B., Finlayson, G., Harvey, R., Huber, K., Kulinskaya, E., Laycock, S., Lines, J., Mackiewicz, M., Milner, B., Moulton, V., Parr, G., Ren, E. & Wang, W.
Engineering and Physical Sciences Research Council
10/01/20 → 8/07/22
Project: Research