PaaS-oriented IoT platform with connected cars use cases

Róbert Lovas, Attila Csaba Marosi, Márk Emödi, Ádám Kisari, Ernö Simonyi, P. Gáspár

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

Abstract

Connected Cars and their related technologies have been rapidly evolving in the last decade. One of the most crucial development areas addresses the aggregation of massive amounts of sensor data arriving continuously from a wide variety of hardware components: e.g. tyre sensors, cameras built on-board, and other external sources. Since the main aim of the manufacturers is to build safer, easier to drive, and more autonomous cars based on the collected data; they follow the latest ICT trends. Two technologies can be considered as already accepted and proven approaches at several application fields since they provide facilities (among others) to handle and process the generated, heterogeneous, large-scale, and rapidly growing data sets: Cloud computing and big data. The cloud infrastructure may act as an Internet of Things (IoT) backend, or as a kind of central hub by gathering the incoming sensor and other types of data. Moreover, the cloud offers elasticity in terms of data analytics and distribution services for such enormous amount of data. This paper details the second, private Platform-as-a-Service (PaaS) version of our cloud-oriented IoT back-end framework for Connected Cars and its scalable services relying on our experiences gained during the development of its first, Infrastructure-as-a-Service (IaaS) variant on an OpenNebula infrastructure. During the design and development stages we leveraged on the Cloud Foundry PaaS platform deployed at the premises of an automotive supplier company. The new reference implementation is able to handle, analyze and visualize vehicular data as illustrated by various use cases including Eco-driving, weather report/forecast, parameter coding over cloud, collection of CAN data, flashing devices remotely, etc.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages409-420
Number of pages12
ISBN (Electronic)9781538674130
DOIs
Publication statusPublished - Jan 16 2019
Event1st International Conference on Sensor Networks and Signal Processing, SNSP 2018 - Xi'an, China
Duration: Oct 28 2018Oct 31 2018

Publication series

NameProceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018

Conference

Conference1st International Conference on Sensor Networks and Signal Processing, SNSP 2018
CountryChina
CityXi'an
Period10/28/1810/31/18

Fingerprint

Railroad cars
platforms
Sensors
Foundries
Cloud computing
Tires
Elasticity
sensors
Agglomeration
Cameras
Hardware
foundries
tires
hubs
weather
forecasting
Internet of things
Industry
hardware
coding

Keywords

  • Cloud
  • Connected cars
  • IoT
  • Platform-as-a-service
  • Remote device flashing
  • Vehicular data handling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Cite this

Lovas, R., Marosi, A. C., Emödi, M., Kisari, Á., Simonyi, E., & Gáspár, P. (2019). PaaS-oriented IoT platform with connected cars use cases. In Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018 (pp. 409-420). [8615963] (Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNSP.2018.00085

PaaS-oriented IoT platform with connected cars use cases. / Lovas, Róbert; Marosi, Attila Csaba; Emödi, Márk; Kisari, Ádám; Simonyi, Ernö; Gáspár, P.

Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 409-420 8615963 (Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018).

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

Lovas, R, Marosi, AC, Emödi, M, Kisari, Á, Simonyi, E & Gáspár, P 2019, PaaS-oriented IoT platform with connected cars use cases. in Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018., 8615963, Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018, Institute of Electrical and Electronics Engineers Inc., pp. 409-420, 1st International Conference on Sensor Networks and Signal Processing, SNSP 2018, Xi'an, China, 10/28/18. https://doi.org/10.1109/SNSP.2018.00085
Lovas R, Marosi AC, Emödi M, Kisari Á, Simonyi E, Gáspár P. PaaS-oriented IoT platform with connected cars use cases. In Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 409-420. 8615963. (Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018). https://doi.org/10.1109/SNSP.2018.00085
Lovas, Róbert ; Marosi, Attila Csaba ; Emödi, Márk ; Kisari, Ádám ; Simonyi, Ernö ; Gáspár, P. / PaaS-oriented IoT platform with connected cars use cases. Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 409-420 (Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018).
@inproceedings{6b3c5b92643d424aa46dc4a914a20b14,
title = "PaaS-oriented IoT platform with connected cars use cases",
abstract = "Connected Cars and their related technologies have been rapidly evolving in the last decade. One of the most crucial development areas addresses the aggregation of massive amounts of sensor data arriving continuously from a wide variety of hardware components: e.g. tyre sensors, cameras built on-board, and other external sources. Since the main aim of the manufacturers is to build safer, easier to drive, and more autonomous cars based on the collected data; they follow the latest ICT trends. Two technologies can be considered as already accepted and proven approaches at several application fields since they provide facilities (among others) to handle and process the generated, heterogeneous, large-scale, and rapidly growing data sets: Cloud computing and big data. The cloud infrastructure may act as an Internet of Things (IoT) backend, or as a kind of central hub by gathering the incoming sensor and other types of data. Moreover, the cloud offers elasticity in terms of data analytics and distribution services for such enormous amount of data. This paper details the second, private Platform-as-a-Service (PaaS) version of our cloud-oriented IoT back-end framework for Connected Cars and its scalable services relying on our experiences gained during the development of its first, Infrastructure-as-a-Service (IaaS) variant on an OpenNebula infrastructure. During the design and development stages we leveraged on the Cloud Foundry PaaS platform deployed at the premises of an automotive supplier company. The new reference implementation is able to handle, analyze and visualize vehicular data as illustrated by various use cases including Eco-driving, weather report/forecast, parameter coding over cloud, collection of CAN data, flashing devices remotely, etc.",
keywords = "Cloud, Connected cars, IoT, Platform-as-a-service, Remote device flashing, Vehicular data handling",
author = "R{\'o}bert Lovas and Marosi, {Attila Csaba} and M{\'a}rk Em{\"o}di and {\'A}d{\'a}m Kisari and Ern{\"o} Simonyi and P. G{\'a}sp{\'a}r",
year = "2019",
month = "1",
day = "16",
doi = "10.1109/SNSP.2018.00085",
language = "English",
series = "Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "409--420",
booktitle = "Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018",

}

TY - GEN

T1 - PaaS-oriented IoT platform with connected cars use cases

AU - Lovas, Róbert

AU - Marosi, Attila Csaba

AU - Emödi, Márk

AU - Kisari, Ádám

AU - Simonyi, Ernö

AU - Gáspár, P.

PY - 2019/1/16

Y1 - 2019/1/16

N2 - Connected Cars and their related technologies have been rapidly evolving in the last decade. One of the most crucial development areas addresses the aggregation of massive amounts of sensor data arriving continuously from a wide variety of hardware components: e.g. tyre sensors, cameras built on-board, and other external sources. Since the main aim of the manufacturers is to build safer, easier to drive, and more autonomous cars based on the collected data; they follow the latest ICT trends. Two technologies can be considered as already accepted and proven approaches at several application fields since they provide facilities (among others) to handle and process the generated, heterogeneous, large-scale, and rapidly growing data sets: Cloud computing and big data. The cloud infrastructure may act as an Internet of Things (IoT) backend, or as a kind of central hub by gathering the incoming sensor and other types of data. Moreover, the cloud offers elasticity in terms of data analytics and distribution services for such enormous amount of data. This paper details the second, private Platform-as-a-Service (PaaS) version of our cloud-oriented IoT back-end framework for Connected Cars and its scalable services relying on our experiences gained during the development of its first, Infrastructure-as-a-Service (IaaS) variant on an OpenNebula infrastructure. During the design and development stages we leveraged on the Cloud Foundry PaaS platform deployed at the premises of an automotive supplier company. The new reference implementation is able to handle, analyze and visualize vehicular data as illustrated by various use cases including Eco-driving, weather report/forecast, parameter coding over cloud, collection of CAN data, flashing devices remotely, etc.

AB - Connected Cars and their related technologies have been rapidly evolving in the last decade. One of the most crucial development areas addresses the aggregation of massive amounts of sensor data arriving continuously from a wide variety of hardware components: e.g. tyre sensors, cameras built on-board, and other external sources. Since the main aim of the manufacturers is to build safer, easier to drive, and more autonomous cars based on the collected data; they follow the latest ICT trends. Two technologies can be considered as already accepted and proven approaches at several application fields since they provide facilities (among others) to handle and process the generated, heterogeneous, large-scale, and rapidly growing data sets: Cloud computing and big data. The cloud infrastructure may act as an Internet of Things (IoT) backend, or as a kind of central hub by gathering the incoming sensor and other types of data. Moreover, the cloud offers elasticity in terms of data analytics and distribution services for such enormous amount of data. This paper details the second, private Platform-as-a-Service (PaaS) version of our cloud-oriented IoT back-end framework for Connected Cars and its scalable services relying on our experiences gained during the development of its first, Infrastructure-as-a-Service (IaaS) variant on an OpenNebula infrastructure. During the design and development stages we leveraged on the Cloud Foundry PaaS platform deployed at the premises of an automotive supplier company. The new reference implementation is able to handle, analyze and visualize vehicular data as illustrated by various use cases including Eco-driving, weather report/forecast, parameter coding over cloud, collection of CAN data, flashing devices remotely, etc.

KW - Cloud

KW - Connected cars

KW - IoT

KW - Platform-as-a-service

KW - Remote device flashing

KW - Vehicular data handling

UR - http://www.scopus.com/inward/record.url?scp=85062223780&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062223780&partnerID=8YFLogxK

U2 - 10.1109/SNSP.2018.00085

DO - 10.1109/SNSP.2018.00085

M3 - Conference contribution

AN - SCOPUS:85062223780

T3 - Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018

SP - 409

EP - 420

BT - Proceedings - 2018 International Conference on Sensor Networks and Signal Processing, SNSP 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -