Version 1
: Received: 22 July 2024 / Approved: 23 July 2024 / Online: 24 July 2024 (07:06:36 CEST)
How to cite:
Karthick, G.; Ezra, G. M. Developing a Secure Service Ecosystem to Implement the Intelligent Edge Environment for Smart Cities. Preprints2024, 2024071821. https://doi.org/10.20944/preprints202407.1821.v1
Karthick, G.; Ezra, G. M. Developing a Secure Service Ecosystem to Implement the Intelligent Edge Environment for Smart Cities. Preprints 2024, 2024071821. https://doi.org/10.20944/preprints202407.1821.v1
Karthick, G.; Ezra, G. M. Developing a Secure Service Ecosystem to Implement the Intelligent Edge Environment for Smart Cities. Preprints2024, 2024071821. https://doi.org/10.20944/preprints202407.1821.v1
APA Style
Karthick, G., & Ezra, G. M. (2024). Developing a Secure Service Ecosystem to Implement the Intelligent Edge Environment for Smart Cities. Preprints. https://doi.org/10.20944/preprints202407.1821.v1
Chicago/Turabian Style
Karthick, G. and Glenford Mapp Ezra. 2024 "Developing a Secure Service Ecosystem to Implement the Intelligent Edge Environment for Smart Cities" Preprints. https://doi.org/10.20944/preprints202407.1821.v1
Abstract
In the future, smart cities will provide key services including seamless communication,
intelligent transport systems, advanced healthcare platforms, urban and infrastructure management,
and digital services for local and regional government. Therefore, a new service and networking
paradigm, called the Intelligent Edge Environment, has been specified. and is known as the Intelligent
Edge Environment. As a key part of this system, a new secure service ecosystem must be developed
to provide the secure realtime movement of services on different High-Performance Edge Cloud
Systems. This paper explores these issues by introducing the following mechanisms: the Resource
Allocation Algorithm, the Resource Allocation Secure Protocol and finally the Secure Service Protocols.
These systems were integrated into the Basic Capabilities System Library and a multithreaded FUSE
client connected to the Service Management Framework. Docker was used as a migration mechanism.
A prototype was developed and implemented using a FUSE-Network Memory System in which the
Network Memory Server was migrated as users move around. The result shows that this approach
was safe and could be used to develop new applications and services for smart cities.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.