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Li, Jun
Publications (6 of 6) Show all publications
Li, J., Shen, X., Chen, L., Ou, J., Wosinska, L. & Chen, J. (2019). Delay-aware bandwidth slicing for service migration in mobile backhaul networks. Journal of Optical Communications and Networking, 11(4), B1-B9, Article ID 8697074.
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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-B9, article id 8697074Article 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
Institute of Electrical and Electronics Engineers Inc., 2019
Keywords
Bandwidth slicing, Fog computing, Mobile backhaul, Service migration, Bandwidth, Fog, Passive networks, Passive optical networks, Radio access networks, Communication infrastructure, Communication latency, Continuous services, Mission critical applications, Mobile backhaul networks, Mobile backhauls, Support services
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-255958 (URN)10.1364/JOCN.11.0000B1 (DOI)000466187100002 ()2-s2.0-85064096164 (Scopus ID)
Note

QC 20190815

Available from: 2019-08-15 Created: 2019-08-15 Last updated: 2019-10-24Bibliographically approved
Li, J., Shen, X., Chen, L., Van, D. P., Ou, J., Wosinska, L. & Chen, J. (2019). Service Migration in Fog Computing Enabled Cellular Networks to Support Real-Time Vehicular Communications. IEEE Access, 7, 13704-13714
Open this publication in new window or tab >>Service Migration in Fog Computing Enabled Cellular Networks to Support Real-Time Vehicular Communications
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 13704-13714Article in journal (Refereed) Published
Abstract [en]

Driven by the increasing number of connected vehicles and related services, powerful communication and computation capabilities are needed for vehicular communications, especially for real-time and safety-related applications. A cellular network consists of radio access technologies, including the current long-term evolution (LTE), the LTE advanced, and the forthcoming 5th generation mobile communication systems. It covers large areas and has the ability to provide high data rate and low latency communication services to mobile users. It is considered the most promising access technology to support real-time vehicular communications. Meanwhile, fog is an emerging architecture for computing, storage, and networking, in which fog nodes can be deployed at base stations to deliver cloud services close to vehicular users. In fog computing-enabled cellular networks, mobility is one of the most critical challenges for vehicular communications to maintain the service continuity and to satisfy the stringent service requirements, especially when the computing and storage resources are limited at the fog nodes. Service migration, relocating services from one fog server to another in a dynamic manner, has been proposed as an effective solution to the mobility problem. To support service migration, both computation and communication techniques need to be considered. Given the importance of protocol design to support the mobility of the vehicles and maintain high network performance, in this paper, we investigate the service migration in the fog computing-enabled cellular networks. We propose a quality-of-service aware scheme based on the existing handover procedures to support the real-time vehicular services. A case study based on a realistic vehicle mobility pattern for Luxembourg scenario is carried out, where the proposed scheme, as well as the benchmarks, are compared by analyzing latency and reliability as well as migration cost.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Connected vehicles, fog computing, service migration
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-245959 (URN)10.1109/ACCESS.2019.2893571 (DOI)000458796400035 ()2-s2.0-85061733224 (Scopus ID)
Note

QC 20190315

Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-08-27Bibliographically approved
Li, J. (2017). Dynamic bandwidth slicing for service migration in passive optical network based mobile backhaul. In: : . Paper presented at IEEE/OSA Asia Communication and Photonics Conference.
Open this publication in new window or tab >>Dynamic bandwidth slicing for service migration in passive optical network based mobile backhaul
2017 (English)Conference paper, Published paper (Refereed)
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-256510 (URN)
Conference
IEEE/OSA Asia Communication and Photonics Conference
Note

QC 20190827

Available from: 2019-08-27 Created: 2019-08-27 Last updated: 2019-08-27Bibliographically approved
Li, J. & Chen, J. (2017). Optical Transport Network Architecture Enabling Ultra-Low Latency for Communications among Base Stations. In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC): . Paper presented at Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA. IEEE
Open this publication in new window or tab >>Optical Transport Network Architecture Enabling Ultra-Low Latency for Communications among Base Stations
2017 (English)In: 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

We propose a novel transport network architecture for mobile backhauling along with its tailored communication protocol to offer ultra-low latency. Results show that less than 0.5 milliseconds packet delay can be achieved for inter-base-station communications.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-210954 (URN)10.1364/OFC.2017.Th4B.5 (DOI)000403405800302 ()2-s2.0-85019935504 (Scopus ID)978-1-943580-23-1 (ISBN)
Conference
Optical Fiber Communications Conference and Exhibition (OFC), MAR 19-23, 2017, Los Angeles, CA
Note

QC 20170713

Available from: 2017-07-13 Created: 2017-07-13 Last updated: 2017-07-13Bibliographically approved
Li, J., Natalino, C., Van, D. p., Wosinska, L. & Chen, J. (2017). Resource Management in Fog-Enhanced Radio Access Network to Support Real-Time Vehicular Services. In: Proceedings - 2017 IEEE 1st International Conference on Fog and Edge Computing, ICFEC 2017: . Paper presented at 1st IEEE International Conference on Fog and Edge Computing, ICFEC 2017, Madrid, Spain, 14 May 2017 (pp. 68-74). Institute of Electrical and Electronics Engineers (IEEE), Article ID 8014361.
Open this publication in new window or tab >>Resource Management in Fog-Enhanced Radio Access Network to Support Real-Time Vehicular Services
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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, p. 68-74, article id 8014361Conference paper, Published 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
Keywords
connected vehicle, Fog computing, real-time service, resource management
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-218549 (URN)10.1109/ICFEC.2017.17 (DOI)000426944700008 ()2-s2.0-85030309454 (Scopus ID)9781509030477 (ISBN)
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: 2019-08-27Bibliographically approved
Li, J., Natalino, C., Shen, X., Chen, L., Ou, J., Wosinska, L. & Chen, J.Online Resource Management in Fog-enhanced Cellular Networks for Real-Time Vehicular Services.
Open this publication in new window or tab >>Online Resource Management in Fog-enhanced Cellular Networks for Real-Time Vehicular Services
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Fog computing is expected to be integrated with existing communication infrastructures, giving rise to the concept of fog-enhanced cellular networks (FeCNs) to support real-time services. In such FeCNs, service migration is necessary to maintain the service continuity and satisfy stringent latency requirements of real-time vehicular services, where the service is migrated from a source fog node to a target fog node following the vehicle's moving trace. Fog servers, however, need to have sufficient computational resources available to support such a migration. Also, provisioning resource for the migrated real-time services needs to be completed as soon as possible to minimize the service interruption. This paper proposes a distributed online resource management (ORM) scheme, in which resources for real-time vehicular services are provisioned with high priority. Once resources are scarce in one fog node, services with low priority can be migrated to neighboring fog nodes and their resources can be released in a distributed fashion. We propose two algorithms tailored to reduce the negative effects on the affected services. As a case study, the Luxembourg traffic volume model has been considered to verify the performance of the proposed scheme. Simulation results show that the performance of the proposed scheme is dependent on the backhaul capacity. Compared with other schemes, the one-hop access probability for real-time vehicular services implying low delay performance can be effectively improved, while the performance of other services can also be well maintained by providing sufficient backhaul capacity.

National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-256502 (URN)
Note

QC 20190903

Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-09-03Bibliographically approved
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