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Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT

Authors :
Maria Ashraf
Muhammad Shiraz
Almas Abbasi
Omar Alqahtani
Gran Badshah
Ayodele Lasisi
Source :
Sensors, Vol 23, Iss 16, p 7142 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Fog computing extends mobile cloud computing facilities at the network edge, yielding low-latency application execution. To supplement cloud services, computationally intensive applications can be distributed on resource-constrained mobile devices by leveraging underutilized nearby resources to meet the latency and bandwidth requirements of application execution. Building upon this premise, it is necessary to investigate idle or underutilized resources that are present at the edge of the network. The utilization of a microservice architecture in IoT application development, with its increased granularity in service breakdown, provides opportunities for improved scalability, maintainability, and extensibility. In this research, the proposed schedule tackles the latency requirements of applications by identifying suitable upward migration of microservices within a multi-tiered fog computing infrastructure. This approach enables optimal utilization of network edge resources. Experimental validation is performed using the iFogSim2 simulator and the results are compared with existing baselines. The results demonstrate that compared to the edgewards approach, our proposed technique significantly improves the latency requirements of application execution, network usage, and energy consumption by 66.92%, 69.83%, and 4.16%, respectively.

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.5aeed0b26454af2ac3159c4f1402901
Document Type :
article
Full Text :
https://doi.org/10.3390/s23167142