A Cross-domain Comparative Study of Big Data Architectures

J 2020

A Cross-domain Comparative Study of Big Data Architectures

MACÁK, Martin; Mouzhi GE a Barbora BÜHNOVÁ

Základní údaje

Originální název

A Cross-domain Comparative Study of Big Data Architectures

Autoři

MACÁK, Martin (703 Slovensko, domácí); Mouzhi GE (156 Čína, garant, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

International Journal of Cooperative Information Systems, 2020, 0218-8430

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: 1.286

Kód RIV

RIV/00216224:14610/20:00116297

Organizační jednotka

Ústav výpočetní techniky

DOI

http://dx.doi.org/10.1142/S0218843020300016

UT WoS

000603594000001

EID Scopus

2-s2.0-85096046959

Klíčová slova česky

Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures; architectural variety

Klíčová slova anglicky

Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures; architectural variety

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 4. 2021 18:33, RNDr. Martin Macák, Ph.D.

Anotace

V originále

Nowadays, a variety of Big Data architectures are emerging to organize the Big Data life cycle. While some of these architectures are proposed for general usage, many of them are proposed in a specific application domain such as smart cities, transportation, healthcare, and agriculture. There is, however, a lack of understanding of how and why Big Data architectures vary in different domains and how the Big Data architecture strategy in one domain may possibly advance other domains. Therefore, this paper surveys and compares the Big Data architectures in different application domains. It also chooses a representative architecture of each researched application domain to indicate which Big Data architecture from a given domain the researchers and practitioners may possibly start from. Next, a pairwise cross-domain comparison among the Big Data architectures is presented to outline the similarities and differences between the domain-specific architectures. Finally, the paper provides a set of practical guidelines for Big Data researchers and practitioners to build and improve Big Data architectures based on the knowledge gathered in this study.

Návaznosti

EF16_013/0001802, projekt VaV

Název: CERIT Scientific Cloud

MUNI/A/1411/2019, interní kód MU

Název: Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita.

Investor: Masarykova univerzita, Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita., DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

MACÁK, Martin; Mouzhi GE a Barbora BÜHNOVÁ. A Cross-domain Comparative Study of Big Data Architectures. International Journal of Cooperative Information Systems. 2020, roč. 29, č. 4, s. 1-27. ISSN 0218-8430. Dostupné z: https://dx.doi.org/10.1142/S0218843020300016.

@article{1676363,
   author = {Macák, Martin and Ge, Mouzhi and Bühnová, Barbora},
   article_number = {4},
   doi = {http://dx.doi.org/10.1142/S0218843020300016},
   keywords = {Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures; architectural variety},
   language = {eng},
   issn = {0218-8430},
   journal = {International Journal of Cooperative Information Systems},
   title = {A Cross-domain Comparative Study of Big Data Architectures},
   url = {https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016},
   volume = {29},
   year = {2020}
}

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AU  - Macák, Martin - Ge, Mouzhi - Bühnová, Barbora
PY  - 2020
TI  - A Cross-domain Comparative Study of Big Data Architectures
JF  - International Journal of Cooperative Information Systems
VL  - 29
IS  - 4
SP  - 1-27
EP  - 1-27
SN  - 02188430
KW  - Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures
KW  - architectural variety
UR  - https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016
L2  - https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016
N2  - Nowadays, a variety of Big Data architectures are emerging to organize the Big Data life cycle. While some of these architectures are proposed for general usage, many of them are proposed in a specific application domain such as smart cities, transportation, healthcare, and agriculture. There is, however, a lack of understanding of how and why Big Data architectures vary in different domains and how the Big Data architecture strategy in one domain may possibly advance other domains. Therefore, this paper surveys and compares the Big Data architectures in different application domains. It also chooses a representative architecture of each researched application domain to indicate which Big Data architecture from a given domain the researchers and practitioners may possibly start from. Next, a pairwise cross-domain comparison among the Big Data architectures is presented to outline the similarities and differences between the domain-specific architectures. Finally, the paper provides a set of practical guidelines for Big Data researchers and practitioners to build and improve Big Data architectures based on the knowledge gathered in this study.
ER  -

MACÁK, Martin; Mouzhi GE a Barbora BÜHNOVÁ. A Cross-domain Comparative Study of Big Data Architectures. \textit{International Journal of Cooperative Information Systems}. 2020, roč.~29, č.~4, s.~1-27. ISSN~0218-8430. Dostupné z: https://dx.doi.org/10.1142/S0218843020300016.

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