Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1050944

Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science


Pevec, Dario; Vdovic, Hrvoje; Gace, Ivana; Sabolic, Matea; Babic, Jurica; Podobnik, Vedran
Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science // Proceedings of 15th International Conference on Telecommunications (ConTEL 2019)
Graz: IEEE, 2019. str. 1-8 doi:10.1109/ConTEL.2019.8848542 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science

Autori
Pevec, Dario ; Vdovic, Hrvoje ; Gace, Ivana ; Sabolic, Matea ; Babic, Jurica ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 15th International Conference on Telecommunications (ConTEL 2019) / - Graz : IEEE, 2019, 1-8

Skup
15th International Conference on Telecommunications (ConTEL 2019)

Mjesto i datum
Graz, Austrija, 03-05.07.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data platform ; big data ; 5V ; data analysis ; data science

Sažetak
Nowadays, large amounts of data are being generated from numerous sources. Such a trend is evident in many research fields where the number of data producers is constantly increasing. For example, fields of transportation science and automotive industry may consider each vehicle on the road as a separate data producer which can generate large amounts of data. In the literature, the big data is commonly used as an umbrella term when discussing research related to the following data challenges: volume, variety, velocity, veracity and value. Furthermore, it is a common approach to use a variety of programming tools and methods for different data processing phases, i.e., data collection, data storage, and data analysis. In this paper, we present a distributed data platform that addresses the aforementioned challenges by relying on a specific design choices for each of data processing phases. We argument how such the data platform supports robustness, scalability, fault tolerance, and reliability by showcasing the two real-world use-cases from the transportation/automotive domain: (i) collection, storage, and analysis of the data generated by electric cleaners fleet, and (ii) collection, storage, and analysis of transaction data from EV charging stations, which is further used to develop the EV charging infrastructure.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Vedran Podobnik (autor)

Avatar Url Jurica Babić (autor)

Avatar Url Dario Pevec (autor)

Citiraj ovu publikaciju

Pevec, Dario; Vdovic, Hrvoje; Gace, Ivana; Sabolic, Matea; Babic, Jurica; Podobnik, Vedran
Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science // Proceedings of 15th International Conference on Telecommunications (ConTEL 2019)
Graz: IEEE, 2019. str. 1-8 doi:10.1109/ConTEL.2019.8848542 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pevec, D., Vdovic, H., Gace, I., Sabolic, M., Babic, J. & Podobnik, V. (2019) Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science. U: Proceedings of 15th International Conference on Telecommunications (ConTEL 2019) doi:10.1109/ConTEL.2019.8848542.
@article{article, year = {2019}, pages = {1-8}, DOI = {10.1109/ConTEL.2019.8848542}, keywords = {data platform, big data, 5V, data analysis, data science}, doi = {10.1109/ConTEL.2019.8848542}, title = {Distributed Data Platform for Automotive Industry: A Robust Solution for Tackling Big Challenges of Big Data in Transportation Science}, keyword = {data platform, big data, 5V, data analysis, data science}, publisher = {IEEE}, publisherplace = {Graz, Austrija} }

Citati