Ugwuanyi, Stephen, Asif, Rameez and Irvine, James (2020) Network virtualization: Proof of concept for remote management of multi-tenant infrastructure. In: Proceedings - 2020 IEEE 6th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, DependSys 2020. Proceedings - 2020 IEEE 6th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, DependSys 2020 . The Institute of Electrical and Electronics Engineers (IEEE), pp. 98-105. ISBN 978-1-7281-7651-2
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Abstract
Recently, container and cloud-based orchestration technologies are important requirements for data and functional integration of new control and automation services in distributed networks. The industrial adoption of Docker Swarm and Kubernetes based orchestrators are due to their abilities to support large-scale deployment, reduce capital cost, enable interoperability, introduce flexibility, minimize vendor lock-in and identify scalable means of deploying new functions with minimal performance and monitoring related issues. In this study, we performed a comprehensive study of the requirements and strategies in a Containerized Docker Swarm Orchestration Framework (CDSOF) as an efficient, cost-effective, secure and resilience device management tool for remote administration, configuration and supervision of virtualized large-scale Ethernet connected multi-tenanted assets. In a performance and security comparative analysis to Kubernetes and Apache Mesos, Docker Swarm is the leading solution with support features for overlay networks such as Flannel and Weave. Finally, we established the design and test specifications to guide our substation Virtual Remote Terminal Units (vRTUs) implementation.
Item Type: | Book Section |
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Uncontrolled Keywords: | ip addressing,internet of things,multi-tenancy,networks,overlay network,security,utility,virtualization,artificial intelligence,computer networks and communications,computer science applications,information systems,signal processing,information systems and management,safety, risk, reliability and quality,instrumentation ,/dk/atira/pure/subjectarea/asjc/1700/1702 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 26 Jan 2022 11:30 |
Last Modified: | 14 Mar 2023 08:37 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/83154 |
DOI: | 10.1109/DependSys51298.2020.00023 |
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