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Resource Management in Fog-Enhanced Radio Access Network to Support Real-Time Vehicular Services
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0003-3478-9890
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-6704-6554
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2017 (English)In: Proceedings - 2017 IEEE 1st International Conference on Fog and Edge Computing, ICFEC 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, 68-74 p., 8014361Conference paper (Refereed)
Abstract [en]

With advances in the information and communication technology (ICT), connected vehicles are one of the key enablers to unleash intelligent transportation systems (ITS). On the other hand, the envisioned massive number of connected vehicles raises the need for powerful communication and computation capabilities. As an emerging technique, fog computing is expected to be integrated with existing communication infrastructures, giving rise to a concept of fog-enhanced radio access networks (FeRANs). Such architecture brings computation capabilities closer to vehicular users, thereby reducing communication latency to access services, while making users capable of sharing local environment information for advanced vehicular services. In the FeRANs service migration, where the service is migrated from a source fog node to a target fog node following the vehicle's moving trace, it is necessary for users to access service as close as possible in order to maintain the service continuity and satisfy stringent latency requirements of real-time services. Fog servers, however, need to have sufficient computational resources available to support such migration. Indeed, a fog node typically has limited resources and hence can easily become overloaded when a large number of user requests arrive, e.g., during peak traffic, resulting in degraded performance. This paper addresses resource management in FeRANs with a focus on management strategies at each individual fog node to improve quality of service (QoS), particularly for real-time vehicular services. To this end, the paper proposes two resource management schemes, namely fog resource reservation and fog resource reallocation. In both schemes, real-time vehicular services are prioritized over other services so that their respective vehicular users can access the services with only one hop. Simulation results show that the proposed schemes can effectively improve one-hop access probability for real-time vehicular services implying low delay performance, even when the fog resource is under heavy load.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. 68-74 p., 8014361
Keyword [en]
connected vehicle, Fog computing, real-time service, resource management
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-218549DOI: 10.1109/ICFEC.2017.17Scopus ID: 2-s2.0-85030309454ISBN: 9781509030477 OAI: oai:DiVA.org:kth-218549DiVA: diva2:1161433
Conference
1st IEEE International Conference on Fog and Edge Computing, ICFEC 2017, Madrid, Spain, 14 May 2017
Note

QC 20171130

Available from: 2017-11-30 Created: 2017-11-30 Last updated: 2017-11-30Bibliographically approved

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Li, JunNatalino, CarlosVan, Dung phamWosinska, LenaChen, Jiajia

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