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

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 restrictiv...

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Vydáno v:Computers & electrical engineering Ročník 74; s. 581 - 604
Hlavní autoři: Gökalp, Mert Onuralp, Koçyiğit, Altan, Eren, P. Erhan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Ltd 01.03.2019
Elsevier BV
Témata:
Big data
Complex event processing
Data management
Data transmission
Digital media
Distributed processing
Internet of Things
Programming
Real time
Stream processing
Visual programming
Internet of things
Visual programming
Distributed processing
Stream processing
Big data
Complex event processing
ISSN:0045-7906, 1879-0755
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Shrnutí: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.
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ISSN:0045-7906
1879-0755
DOI:10.1016/j.compeleceng.2018.02.007