Edge Computing (EC) services and hardware help mitigate issues by being a local resource of storage and
processing for various systems. Edge gateway, for instance, is capable of processing datasets from edge devices, and then
sending only essential datasets back via the cloud systems, hence minimizing the bandwidth required. Or it can send data
to the edge device in case of actual-time application needs. Individual users are served through a distributed computing
system that includes data processing and storage as part of the edge computing concept. An important role is played by the
framework in the IoT (Internet - Of - things) area (IoT). Fully distributed edge clouds raise additional issues, such as the
potential for recovery and privacy breaches. Our solution is based on multi-cloud installations and the edge nodes, which
are essential for a voting mechanism in this article. In order to verify calculations that occur in the centralised environment,
it is advised to use the edge networking.
Keywords
Edge Computing (EC), Internet of Things (IoT), Byzantine Fault Tolerance (BFT), Cloud Environment.
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Kanev Boris Lisitsa
Kanev Boris Lisitsa
Faculty of Science and Engineering, University of Liverpool, UK.
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Cite this article
Kanev Boris Lisitsa, “A Recommendation of a System Integrated With Edge Nodes, Multi-Cloud Instance and Decision-Making Mechanism for Voting System”, Journal of Machine and Computing, vol.2, no.3, pp. 114-123, July 2022. doi: 10.53759/7669/jmc202202016.
