A visual programming framework for distributed Internet of Things centric complex event processing

Date

2019-03-01

Author

Gökalp, Mert Onuralp
Koçyiğit, Altan
Eren, Pekin Erhan

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

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Complex Event Processing (CEP) is a promising approach for real-time processing of big data streams originating from Internet of Things (IoT) devices. Even though scalability and flexibility are key issues for IoT applications, current studies are mostly based on centralized solutions and restrictive query languages. Moreover, development, deployment and operation of big-data applications require significant amount of technical expertise. Hence, a framework that provides a higher abstraction level programming model and a streamlined execution environment is essential to facilitate widespread user adoption. In this paper, we propose a data-flow based visual programming model that enables development of big-data applications in IoT domain even by users who have limited or no experience in big-data technologies. A scalable CEP engine is also devised to execute the applications developed using this language. A prototype is implemented by using the state-of-the-art big-data and real-time stream processing technologies to evaluate the applicability and usability of the framework.

Subject Keywords

Complex event processing, Big data, Internet of things, Visual programming, Stream processing, Distributed processing

URI

https://hdl.handle.net/11511/30520

Journal

COMPUTERS & ELECTRICAL ENGINEERING

DOI

https://doi.org/10.1016/j.compeleceng.2018.02.007

Collections

Graduate School of Informatics, Article

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Citation Formats

M. O. Gökalp, A. Koçyiğit, and P. E. Eren, “A visual programming framework for distributed Internet of Things centric complex event processing,” COMPUTERS & ELECTRICAL ENGINEERING, pp. 581–604, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30520.