Provenance aware run-time verification of things for self-healing Internet of Things applications

Name: Provenance aware run-time verification of things for self-healing Internet of Things applications
Author: Aktas, M. S., Astekin, Merve

İsim	Provenance aware run-time verification of things for self-healing Internet of Things applications
Yazar	Aktas, M. S., Astekin, Merve
Basım Tarihi:	2019-02-10
Basım Yeri	- Wiley
Konu	Big data, Complex event processing, Internet of things, Run-time verification, Self-healing systems
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1532-0626
Kayıt Numarası	f506be7b-69c9-4da0-8d98-314db17fbc89
Tarih	2019-02-10
Notlar	TÜBİTAK ; Provenance Use in Social Media Software to Develop Methodologies for Detection of Information Pollution and Violation of Copyrights
Örnek Metin	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

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Provenance aware run-time verification of things for self-healing Internet of Things applications

Yazar Aktas, M. S., Astekin, Merve

Basım Tarihi 2019-02-10

Basım Yeri - Wiley

Konu Big data, Complex event processing, Internet of things, Run-time verification, Self-healing systems

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1532-0626

Kayıt Numarası f506be7b-69c9-4da0-8d98-314db17fbc89

Tarih 2019-02-10

Notlar TÜBİTAK ; Provenance Use in Social Media Software to Develop Methodologies for Detection of Information Pollution and Violation of Copyrights

Örnek Metin 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