Real time, dynamic cloud offloading for self-driving vehicles with secure and reliable automatic switching between local and edge computing

Dario Paolo Gulotta

Real time, dynamic cloud offloading for self-driving vehicles with secure and reliable automatic switching between local and edge computing.

Rel. Fulvio Giovanni Ottavio Risso. Politecnico di Torino, Master of science program in Computer Engineering, 2023

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Abstract

Autonomous robots are quickly transitioning from isolated to connected systems, offloading an increasing number of operations to third-party systems. Several historical factors contributed to the fact that robots have had the necessary intelligence built into them. By using the massive amount of data that is generated by the on-board sensors, they locate objects in real time and properly steer clear of them. Today, these robots are quickly transitioning from isolated to connected systems, offloading an increasing number of operations to third-party systems. Offloading computational tasks can actually have a significant positive impact on computational capacity, allowing to handle larger workloads and process them more efficiently.

However, it's important to note that offloading typically involves some trade-offs, and one of the common trade-offs is increased latency