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A Cross-domain Comparative Study of Big Data Architectures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F20%3A00116297" target="_blank" >RIV/00216224:14610/20:00116297 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218843020300016" target="_blank" >10.1142/S0218843020300016</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Cross-domain Comparative Study of Big Data Architectures

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Cooperative Information Systems

  • ISSN

    0218-8430

  • e-ISSN

    1793-6365

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    27

  • Pages from-to

    1-27

  • UT code for WoS article

    000603594000001

  • EID of the result in the Scopus database

    2-s2.0-85096046959