Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles

Yong Xiao, Marwan Krunz, Haris Volos, Takashi Bando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fog computing has been advocated as an enabling technology for computationally intensive services in connected smart vehicles. Most existing works focus on analyzing and optimizing the queueing and workload processing latencies, ignoring the fact that the access latency between vehicles and fog/cloud servers can sometimes dominate the end-to-end service latency. This motivates the work in this paper, where we report a five-month urban measurement study of the wireless access latency between a connected vehicle and a fog computing system supported by commercially available multi-operator LTE networks. We propose AdaptiveFog, a novel framework for autonomous and dynamic switching between different LTE operators that implement fog/cloud infrastructure. The main objective here is to maximize the service confidence level, defined as the probability that the tolerable latency threshold for each supported type of service can be guaranteed. AdaptiveFog has been implemented on a smart phone app, running on a moving vehicle. The app periodically measures the round-trip time between the vehicle and fog/cloud servers. An empirical spatial statistic model is established to characterize the spatial variation of the latency across the main driving routes of the city. To quantify the performance difference between different LTE networks, we introduce the weighted Kantorovich-Rubinstein (K-R) distance. An optimal policy is derived for the vehicle to dynamically switch between LTE operators' networks while driving. Extensive analysis and simulation are performed based on our latency measurement dataset. Our results show that AdaptiveFog achieves around 30% and 50% improvement in the confidence level of fog and cloud latency, respectively.

Original languageEnglish (US)
Title of host publication2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728112077
DOIs
StatePublished - Jun 2019
Event16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019 - Boston, United States
Duration: Jun 10 2019Jun 13 2019

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume2019-June
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494

Conference

Conference16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
CountryUnited States
CityBoston
Period6/10/196/13/19

Fingerprint

Fog
Application programs
Servers
Switches
Statistics
Processing

Keywords

  • cloud computing
  • connected vehicle
  • Fog computing
  • low-latency
  • LTE
  • measurement study

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Xiao, Y., Krunz, M., Volos, H., & Bando, T. (2019). Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019 [8824922] (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 2019-June). IEEE Computer Society. https://doi.org/10.1109/SAHCN.2019.8824922

Driving in the Fog : Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. / Xiao, Yong; Krunz, Marwan; Volos, Haris; Bando, Takashi.

2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019. IEEE Computer Society, 2019. 8824922 (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xiao, Y, Krunz, M, Volos, H & Bando, T 2019, Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. in 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019., 8824922, Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, vol. 2019-June, IEEE Computer Society, 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019, Boston, United States, 6/10/19. https://doi.org/10.1109/SAHCN.2019.8824922
Xiao Y, Krunz M, Volos H, Bando T. Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019. IEEE Computer Society. 2019. 8824922. (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops). https://doi.org/10.1109/SAHCN.2019.8824922
Xiao, Yong ; Krunz, Marwan ; Volos, Haris ; Bando, Takashi. / Driving in the Fog : Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019. IEEE Computer Society, 2019. (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops).
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