Publication details

A Cross-domain Comparative Study of Big Data Architectures

Authors

MACÁK Martin GE Mouzhi BÜHNOVÁ Barbora

Year of publication 2020
Type Article in Periodical
Magazine / Source International Journal of Cooperative Information Systems
MU Faculty or unit

Institute of Computer Science

Citation
Web https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016
Doi http://dx.doi.org/10.1142/S0218843020300016
Keywords Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures; architectural variety
Description 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.
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