A Scalable Clustered Architecture for Cyber-Physical Systems.
INDIN(2023)
Abstract
Cyber-Physical Systems (CPS) play a vital role in the operation of
intelligent interconnected systems. CPS integrates physical and software
components capable of sensing, monitoring, and controlling physical assets and
processes. However, developing distributed and scalable CPSs that efficiently
handle large volumes of data while ensuring high performance and reliability
remains a challenging task. Moreover, existing commercial solutions are often
costly and not suitable for certain applications, limiting developers and
researchers in experimenting and deploying CPSs on a larger scale. The
development of this project aims to contribute to the design and implementation
of a solution to the CPS challenges. To achieve this goal, the Edge4CPS system
was developed. Edge4CPS system is an open source, distributed,
multi-architecture solution that leverages Kubernetes for managing distributed
edge computing clusters. It facilitates the deployment of applications across
multiple computing nodes. It also offers services such as data pipeline, which
includes data processing, classification, and visualization, as well as a
middleware for messaging protocol translation.
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