Context-Aware Stream Processing for Distributed IoT Applications

Akbar, A, Carrez, F, Moessner, K, Sancho, J and Rico, J (2015) Context-Aware Stream Processing for Distributed IoT Applications In: IEEE 2nd World Forum on Internet of Things (WF-IoT), 2015-12-14 - 2015-12-16, Milan, Italy.

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Abstract

Most of the IoT applications are distributed in nature generating large data streams which have to be analyzed in near real-time. Solutions based on Complex Event Processing (CEP) have the potential to extract high-level knowledge from these data streams but the use of CEP for distributed IoT applications is still in early phase and involves many drawbacks. The manual setting of rules for CEP is one of the major drawback. These rules are based on threshold values and currently there are no automatic methods to find the optimized threshold values. In real-time dynamic IoT environments, the context of the application is always changing and the performance of current CEP solutions are not reliable for such scenarios. In this regard, we propose an automatic and context aware method based on clustering for finding optimized threshold values for CEP rules. We have developed a lightweight CEP called CEP to run on low processing hardware which can update the rules on the run. We have demonstrated our approach using a real-world use case of Intelligent Transportation System (ITS) to detect congestion in near real-time.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :	Authors Email ORCID Akbar, A UNSPECIFIED UNSPECIFIED Carrez, F UNSPECIFIED UNSPECIFIED Moessner, K UNSPECIFIED UNSPECIFIED Sancho, J UNSPECIFIED UNSPECIFIED Rico, J UNSPECIFIED UNSPECIFIED
Date :	16 December 2015
Additional Information :	© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User :	Symplectic Elements
Date Deposited :	13 Jan 2016 12:29
Last Modified :	13 Jan 2016 12:29
URI:	http://epubs.surrey.ac.uk/id/eprint/809722

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