Feature Driven Survey of Big Data Systems

Date

2016-01-01

Author

Avcı, Çiğdem
Tekinerdogan, Bedir
Athanasiadis, Ioannis N.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Big Data has become a very important driver for innovation and growth for various industries such as health, administration, agriculture, defence, and education. Storing and analysing large amounts of data are becoming increasingly common in many of these application areas. In general, different application domains might require different type of big data systems. Although, lot has been written on big data it is not easy to identify the required features for developing big data systems that meets the application requirements and the stakeholder concerns. In this paper we provide a survey of big data systems based on feature modelling which is a technique that is utilized for defining the common and variable features of a domain. The feature model has been derived following an extensive literature study on big data systems. We present the feature model and discuss the features to support the understanding of big data systems.

URI

https://hdl.handle.net/11511/109982

DOI

https://doi.org/10.5220/0005877503480355

Conference Name

International Conference on Internet of Things and Big Data (IoTBD)

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

Ç. Avcı, B. Tekinerdogan, and I. N. Athanasiadis, “Feature Driven Survey of Big Data Systems,” presented at the International Conference on Internet of Things and Big Data (IoTBD), Rome, İtalya, 2016, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/109982.