Paper Info
Title
A visual programming framework for distributed Internet of Things centric complex event processing
Abstract
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.
Year
DOI
Venue
2019
10.1016/j.compeleceng.2018.02.007
Computers & Electrical Engineering
Keywords
Field
DocType
Complex event processing,Big data,Internet of things,Visual programming,Stream processing,Distributed processing
Query language,Software engineering,Programming paradigm,Computer science,Usability,Computer network,Complex event processing,Visual programming language,Abstraction layer,Stream processing,Scalability
Journal
Volume
ISSN
Citations 
74
0045-7906
3
PageRank 
References 
Authors
0.38
14
3
Name
Order
Citations
PageRank
Mert Onuralp Gökalp130.38
Altan Koçyigit2228.09
P. Erhan Eren313721.94