Author
Aktas, M. S., Astekin, Merve
Publication Date
2019-02-10
Publication Place
-
Wiley
Subject
Big data, Complex event processing, Internet of things, Run-time verification, Self-healing systems
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1532-0626
Record ID
f506be7b-69c9-4da0-8d98-314db17fbc89
Date
2019-02-10
Notes
TÜBİTAK ; Provenance Use in Social Media Software to Develop Methodologies for Detection of Information Pollution and Violation of Copyrights
Sample Text
We propose a run-time verification mechanism of things for self-healing capability in the Internet of Things domain. We discuss the software architecture of the proposed verification mechanism and its prototype implementations. To identify faulty running behavior of things, we utilize a complex event processing technique by applying rule-based pattern detection on the events generated real time. For events, we use a descriptor metadata of the measurements (such as CPU usage, memory usage, and bandwidth usage) taken from Internet of Things devices. To understand the usability and effectiveness of the proposed mechanism, we developed prototype applications using different event processing platforms. We test the prototype implementations for performance and scalability under increasing message rates. The results are promising because the processing overhead of the proposed verification mechanism is negligible.
DOI
10.1002/cpe.4263
Cilt
31
