Title: Fog computing-based public e-service application in service-oriented architecture

Authors: Mohamed M. Abbassy; Waleed M. Ead

Addresses: Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt ' Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt

Abstract: The fog computing framework provides the tools for handling public e-service resources through a real-world testbed in fog environment. The framework also facilitates communication between equipment, harmonies of fog tools and equipment, deployment of public e-services and the delivery of dynamic resources in fog landscape. In order to respond to various system events, such as device access, device failure, and device overload, the framework is also able to respond to these main functionalities. In the framework evaluation, the consequent event management and evaluation are performed of other significant measures, e.g., costs, deployment times and arrival service patterns. As a consequence, the architecture offers the tools needed to deal with the fog environment complexities and provides faster public e-service running times and significant cost benefits. The present paper outlines the present infrastructure and proposes a different model in public e-service infrastructure, which will be a coordinated effort of fog computing with an intelligent protocol of communication with a service-oriented architecture (SOA) incorporation and ultimately integration with the agent-based SOA. This proposed framework will be capable of interchanging data by decomposing the quality of service (QoS) reliable and methodological with low latency, less bandwidth, heterogeneity in less time.

Keywords: fog computing framework; agent-based SOA; intelligent protocol of communication; main functionalities; fog landscape; arrival service patterns; public e-service; fog environment; quality of service; QoS.

DOI: 10.1504/IJCC.2023.130896

International Journal of Cloud Computing, 2023 Vol.12 No.2/3/4, pp.163 - 177

Received: 16 Apr 2020
Accepted: 11 Jun 2020

Published online: 14 May 2023 *

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