Giovanbattista Caliandro
Multi-Access Edge Computing for Automotive Applications.
Rel. Claudio Ettore Casetti. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2020
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Abstract
Multi-Access Edge Computing (MEC) moves the complexity of the network closer to the end user. With the advent of the fifth generation network (5G) this paradigm becomes very important because, together with new technologies, MEC enables a series of services and applications in which a real-time response in strictly required, such as: autonomous driving, robotics, safety etc. Moreover with new applications and Internet of Things the computation demand is destined to grow as well as the core network overload, edge computing can be a solution to face also this problem. This thesis goes into the actual state of the art defined by the European Telecommunication Standard Institute (ETSI) and looks at the several current projects of ETSI compliant MEC platform.
They have been evaluated on the basis of cost and reliability to find the most suitable to develop and test automotive applications
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