Remote computing is currently widely deployed in production
networks, although its performance could be optimised through an appropriate
architectural design. Accordingly, a mathematical model of an edge-fog-cloud
hierarchy is presented, where all devices are organised as a full complete
k-ary tree. When devices across layers are sequentially indexed, integer
division and modular arithmetic can be used to determine the devices and ports
involved along the path between a source and a destination end device. Two
pseudocode algorithms are proposed, where one considers only a single cloud
server, while the other extends the approach to multiple cloud servers. The key
properties of both algorithms are simplicity and scalability, highlighting
their technical relevance in remote computing architectures. The proposed model
may have a practical impact on IoT, edge AI, and network design as it
simplifies how packets are forwarded between end devices in remote computing
environments.
Author(s) Details
Pedro J. Roig
Miguel Hernández University, Elche, Spain and University of the Balearic
Islands, Spain.
Salvador Alcaraz
Miguel Hernández University, Elche, Spain.
Katja Gilly
Miguel Hernández University, Elche, Spain.
Cristina Bernad
Miguel Hernández University, Elche, Spain.
Carlos Juiz
University of the Balearic Islands, Spain.
Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/7259
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