The Heterogeneity Paradigm in Big Data Architectures

Ivanov, Todor, Izberovic, Sead and Korfiatis, Nikolaos ORCID: (2016) The Heterogeneity Paradigm in Big Data Architectures. In: Managing and Processing Big Data in Cloud Computing. Advances in Data Mining and Database Management (ADMDM) . Idea Group Publishing, pp. 218-245. ISBN 9781466697676

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This chapter introduces the concept of heterogeneity as a perspective in the architecture of big data systems targeted to both vertical and generic workloads and discusses how this can be linked with the existing Hadoop ecosystem (as of 2015). The case of the cost factor of a big data solution and its characteristics can influence its architectural patterns and capabilities and as such an extended model based on the 3V paradigm is introduced (Extended 3V). This is examined on a hierarchical set of four layers (Hardware, Management, Platform and Application). A list of components is provided on each layer as well as a classification of their role in a big data solution.

Item Type: Book Section
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Faculty of Social Sciences > Research Centres > Centre for Competition Policy
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Depositing User: Pure Connector
Date Deposited: 24 Sep 2016 01:01
Last Modified: 20 Apr 2023 01:10
DOI: 10.4018/978-1-4666-9767-6.ch015

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