Delay-aware bandwidth slicing for service migration in mobile backhaul networksShow others and affiliations
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.11.0000B1Scopus ID: 2-s2.0-85064096164OAI: oai:DiVA.org:ri-38604DiVA, id: diva2:1314766
2019-05-092019-05-092023-05-25Bibliographically approved