Design of Variable Big Data Architectures for E-Government Domain

Research output: Chapter in Book/Report/Conference proceedingChapter


Like many application domains Big Data has become a very important driver for innovation and growth for e-government which aims to automate the public services to citizens. In general, e-government systems are often characterized as big data systems in which data storage and processing is one of the business-critical concerns. However, different features are required for different e-government systems, and likewise the corresponding big data architectures will need to be different as well. In this chapter, we present a systematic approach for the design of various big data architectures within the e-government domain. In this context, we adopt a big data reference architecture with a variability model for big data systems and e-government systems. We discuss the design decisions, the experiences and the lessons learned for deriving application architectures for different e-government systems.
Original languageEnglish
Title of host publicationSoftware Engineering for Variable Intensive Systems
Subtitle of host publicationFoundations and Applications
EditorsIvan Mistrik, Matthias Galster, Bruce R. Maxim
Place of PublicationNew York
PublisherTaylor & Francis
ISBN (Electronic)9780429022067
ISBN (Print)9780815348054
Publication statusPublished - 15 Jan 2019

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    Tekinerdogan, B., & Uzun, B. (2019). Design of Variable Big Data Architectures for E-Government Domain. In I. Mistrik, M. Galster, & B. R. Maxim (Eds.), Software Engineering for Variable Intensive Systems : Foundations and Applications (pp. 141-159). Taylor & Francis.