Big Data for Internet of Things: A Survey

J 2018

Big Data for Internet of Things: A Survey

GE, Mouzhi, Hind BANGUI a Barbora BÜHNOVÁ

Základní údaje

Originální název

Big Data for Internet of Things: A Survey

Autoři

GE, Mouzhi (156 Čína, garant, domácí), Hind BANGUI (504 Maroko, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

Future Generation Computer Systems, Elsevier, 2018, 0167-739X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 5.768

Kód RIV

RIV/00216224:14610/18:00102619

Organizační jednotka

Ústav výpočetní techniky

DOI

http://dx.doi.org/10.1016/j.future.2018.04.053

UT WoS

000437997500050

Klíčová slova anglicky

Big DataData analytics;Internet of Things;Healthcare;Energy;Transportation;Building automation;Smart Cities

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 25. 1. 2019 08:28, doc. Ing. RNDr. Barbora Bühnová, Ph.D.

Anotace

V originále

With the rapid development of the Internet of Things (IoT), Big Data technologies have emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to better meet the purpose of the IoT systems and support critical decision making. Although the topic of Big Data analytics itself is extensively researched, the disparity between IoT domains (such as healthcare, energy, transportation and others) has isolated the evolution of Big Data approaches in each IoT domain. Thus, the mutual understanding across IoT domains can possibly advance the evolution of Big Data research in IoT. In this work, we therefore conduct a survey on Big Data technologies in different IoT domains to facilitate and stimulate knowledge sharing across the IoT domains. Based on our review, this paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big Data technologies across all the reviewed IoT domains.

Návaznosti

EF16_013/0001802, projekt VaV

Název: CERIT Scientific Cloud

Citovat

GE, Mouzhi, Hind BANGUI a Barbora BÜHNOVÁ. Big Data for Internet of Things: A Survey. Future Generation Computer Systems. Elsevier, 2018, roč. 87, č. 1, s. 601-614. ISSN 0167-739X. Dostupné z: https://dx.doi.org/10.1016/j.future.2018.04.053.

@article{1415157,
   author = {Ge, Mouzhi and Bangui, Hind and Bühnová, Barbora},
   article_number = {1},
   doi = {http://dx.doi.org/10.1016/j.future.2018.04.053},
   keywords = {Big DataData analytics;Internet of Things;Healthcare;Energy;Transportation;Building automation;Smart Cities},
   language = {eng},
   issn = {0167-739X},
   journal = {Future Generation Computer Systems},
   title = {Big Data for Internet of Things: A Survey},
   url = {https://www.sciencedirect.com/science/article/pii/S0167739X17316953},
   volume = {87},
   year = {2018}
}

TY  - JOUR
ID  - 1415157
AU  - Ge, Mouzhi - Bangui, Hind - Bühnová, Barbora
PY  - 2018
TI  - Big Data for Internet of Things: A Survey
JF  - Future Generation Computer Systems
VL  - 87
IS  - 1
SP  - 601-614
EP  - 601-614
PB  - Elsevier
SN  - 0167739X
KW  - Big DataData analytics;Internet of Things;Healthcare;Energy;Transportation;Building automation;Smart Cities
UR  - https://www.sciencedirect.com/science/article/pii/S0167739X17316953
L2  - https://www.sciencedirect.com/science/article/pii/S0167739X17316953
N2  - With the rapid development of the Internet of Things (IoT), Big Data technologies have emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to better meet the purpose of the IoT systems and support critical decision making. Although the topic of Big Data analytics itself is extensively researched, the disparity between IoT domains (such as healthcare, energy, transportation and others) has isolated the evolution of Big Data approaches in each IoT domain. Thus, the mutual understanding across IoT domains can possibly advance the evolution of Big Data research in IoT. In this work, we therefore conduct a survey on Big Data technologies in different IoT domains to facilitate and stimulate knowledge sharing across the IoT domains. Based on our review, this paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big Data technologies across all the reviewed IoT domains.
ER  -

GE, Mouzhi, Hind BANGUI a Barbora BÜHNOVÁ. Big Data for Internet of Things: A Survey. \textit{Future Generation Computer Systems}. Elsevier, 2018, roč.~87, č.~1, s.~601-614. ISSN~0167-739X. Dostupné z: https://dx.doi.org/10.1016/j.future.2018.04.053.

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