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Delay-aware bandwidth slicing for service migration in mobile backhaul networks
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden; Zhejiang University, China..
RISE - Research Institutes of Sweden, ICT, Viktoria.ORCID iD: 0000-0001-0908-1483
South China Normal University, China.
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2019 (English)In: Journal of Optical Communications and Networking, ISSN 1943-0620, E-ISSN 1943-0639, Vol. 11, no 4, p. B1-B9Article in journal (Refereed) Published
Abstract [en]

Fog computing is expected to be integrated with communication infrastructure, giving rise to the con­cept of fog-enhanced radio access networks (FeRANs) to support various mission-critical applications. Such archi­tecture brings computation capabilities closer to end users, thereby reducing the communication latency to access ser­vices. In the context of FeRAN, service migration is needed to tackle limited resources in a single fog node and to pro­vide continuous service for mobile end users. To support service migration, high capacity and low latency are required in mobile backhaul networks. Passive optical net­works can be a promising solution for such mobile back-haul, in which bandwidth is shared by both migration traffic and that which is not associated with service migra­tion. In this paper, we propose a bandwidth slicing mecha­nism, in which the bandwidth can be provisioned to the migration traffic and non-migration traffic dynamically and effectively to meet their different delay requirements. Simulation results verify that the proposed delay-aware bandwidth slicing scheme can handle the migration traffic properly, i.e., sending it within a required time threshold, while limiting the impact of the migration traffic on the latency and jitter of the non-migration traffic, particularly that with high priority.

Place, publisher, year, edition, pages
2019. Vol. 11, no 4, p. B1-B9
Keywords [en]
Bandwidth, Optical network units, Channel allocation, Delays, Quality of service, Base stations, Passive optical networks, Bandwidth slicing, Fog computing, Mobile backhaul, Service migration
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-38604DOI: 10.1364/JOCN.11.0000B1OAI: oai:DiVA.org:ri-38604DiVA, id: diva2:1314766
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-09Bibliographically approved

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