Affiliation:
1. Institute of Computer Science, Masaryk University, Sumavska 15, 602 00 Brno, Czech Republic
2. Faculty of Informatics, Masaryk University, Botanicka 68a, 602 00 Brno, Czech Republic
Abstract
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.
Funder
European Regional Development Fund Project CERIT Scientific Cloud
Publisher
World Scientific Pub Co Pte Lt
Subject
Computer Science Applications,Information Systems
Cited by
1 articles.
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1. DISDA: Digital Service Design Architecture for Smart City Ecosystems;Proceedings of the 12th International Conference on Cloud Computing and Services Science;2022