Light weight serverless computing at fog nodes for internet of things systems

Internets of things (IoT) systems collect large size of data from huge numbers of sensors. A wide rage of IoT systems relies on cloud resources to process and analyze the collected data. However, passing large amount of data to the cloud affects the overall performance and cannot support real-time r...

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Bibliographic Details
Main Authors: Elkholy, M. (Author), Marzok, M.A (Author)
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
IoT
Online Access:View Fulltext in Publisher
LEADER 01970nam a2200205Ia 4500
001 10.11591-ijeecs.v26.i1.pp394-403
008 220510s2022 CNT 000 0 und d
020 |a 25024752 (ISSN) 
245 1 0 |a Light weight serverless computing at fog nodes for internet of things systems 
260 0 |b Institute of Advanced Engineering and Science  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.11591/ijeecs.v26.i1.pp394-403 
520 3 |a Internets of things (IoT) systems collect large size of data from huge numbers of sensors. A wide rage of IoT systems relies on cloud resources to process and analyze the collected data. However, passing large amount of data to the cloud affects the overall performance and cannot support real-time requirements. Serverless computing is a promising technique that allows developer to write an application code, in any programming language, and specify an event to start its execution. Thus, IoT system can get a good benefit of serverless environment. The proposed work introduces a framework to allow Serverless computing to take place on the Fog nodes near the data collectors. The proposed framework is implemented as an extension to a Kubernetes cluster that manages a set of Docker containers at the fog layer. A prototype of the proposed solution was implemented using Node.Js for coding and YAML files to transfer data. The proposed framework was evaluated against traditional cloud Serverless execution. The experimental results proved the significant enhancement of the framework by dcreasing the respond time especially for data intensive IoT applications. © 2022 Institute of Advanced Engineering and Science. All rights reserved. 
650 0 4 |a Cloud comuting 
650 0 4 |a FaaS 
650 0 4 |a IoT 
650 0 4 |a Serverless computing 
650 0 4 |a Software containers 
700 1 |a Elkholy, M.  |e author 
700 1 |a Marzok, M.A.  |e author 
773 |t Indonesian Journal of Electrical Engineering and Computer Science