The Heterogeneity Paradigm in Big Data Architectures

Todor Ivanov, Sead Izberovic, Nikolaos Korfiatis

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


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.
Original languageEnglish
Title of host publicationManaging and Processing Big Data in Cloud Computing
EditorsRajkumar Kannan, Raihan Ur Rasool, Hai Jin, S.R Balasundaram
PublisherIdea Group Publishing
Number of pages28
ISBN (Electronic)9781466697683
ISBN (Print)9781466697676
Publication statusPublished - Jan 2016

Publication series

NameAdvances in Data Mining and Database Management (ADMDM)
ISSN (Print)2327-1981
ISSN (Electronic)2327-199X

Cite this