RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments

Rehman, Muhammad Habib and Jayaraman, Prem Prakash and Malik, Saif ur Rehman and Khan, Atta ur Rehman and Gaber, Mohamed Medhat (2017) RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments. Journal of Sensor and Actuator Networks, 6 (3). ISSN 2224-2708)

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Abstract

We are witnessing the emergence of new big data processing architectures due to the convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing big data processing architectures are underpinned by the transfer of raw data streams to the cloud computing environment for processing and analysis. This operation is expensive and fails to meet the real-time processing needs of IoT applications. In this article, we present and evaluate a novel big data processing architecture named RedEdge (i.e., data reduction on the edge) that incorporates mechanism to facilitate the processing of big data streams near the source of the data. The RedEdge model leverages mobile IoT-termed mobile edge devices as primary data processing platforms. However, in the case of the unavailability of computational and battery power resources, it offloads data streams in nearer mobile edge devices or to the cloud. We evaluate the RedEdge architecture and the related mechanism within a real-world experiment setting involving 12 mobile users. The experimental evaluation reveals that the RedEdge model has the capability to reduce big data stream by up to 92.86% without compromising energy and memory consumption on mobile edge devices.

Item Type:	Article
Identification Number:	10.3390/jsan6030017
Dates:	Date Event 15 August 2017 Published 9 August 2017 Accepted
Uncontrolled Keywords:	fog computing; mobile edge computing; cloud computing; mobile computing; big data reduction
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Oana-Andreea Dumitrascu
Date Deposited:	24 Aug 2017 09:14
Last Modified:	22 Mar 2023 12:01
URI:	https://www.open-access.bcu.ac.uk/id/eprint/5046

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