Network Slicing in 5G Edge Networks with Controlled Slice Redistributions

Bera, S and Mehta, NB (2021) Network Slicing in 5G Edge Networks with Controlled Slice Redistributions. In: Proceedings of the 2021 17th International Conference on Network and Service Management: Smart Management for Future Networks and Services, CNSM 2021 . pp. 118-124.

PDF CNSM_2021.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Edge computing with network slicing enables 5G networks to meet the diverse and stringent requirements of new services and applications. We study the problem of admitting network slice requests and serving currently active slices in the 5G edge network, while avoiding active slice redistributions in the network. We pose it as a constrained optimization problem that seeks to maximize the total reward or revenue to the network operator from serving the new and active slices minus a term that penalizes slice redistributions in the network. We propose a three-phase polynomial-time, greedy, heuristic approach called RESET to solve this NP-hard problem. The first phase employs a cost function that determines the order in which new slice requests and a fraction of the active slices are served. It takes into account the bandwidth, storage, and computing requirements of a slice request. The second phase selects an edge cloud (EC) to assign an admitted request based on the residual bandwidth of its incoming links, and storage and computing resources at the EC. The last phase determines the forwarding path to route the traffic associated with the slice request to the selected EC. Extensive simulation results show that RESET achieves a total reward that is competitive with the optimal solution and is higher than benchmark schemes, while requiring far fewer slice redistributions. © 2021 IFIP.

Item Type:	Journal Article
Publication:	Proceedings of the 2021 17th International Conference on Network and Service Management: Smart Management for Future Networks and Services, CNSM 2021
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	5G mobile communication systems; Bandwidth; Computational complexity; Constrained optimization; Economics; Heuristic methods; Polynomial approximation, Edge clouds; Edge computing; EDGE Networks; Network slicing; New services; Optimisations; Quality-of-service; Redistribution; Resources allocation; Stringent requirement, Quality of service
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	07 Feb 2022 12:15
Last Modified:	07 Feb 2022 12:15
URI:	http://eprints.iisc.ac.in/id/eprint/71263

Actions (login required)

View Item