Multi-access edge computingcaracterísticas y aplicación en entornos rurales de baja densidad de población
- Camilo Anzola-Rojas 1
- Ramón J. Durán Barroso 1
- Ignacio de Miguel 1
- Javier Parra-Domínguez 2
- André Chaves 3
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1
Universidad de Valladolid
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2
Universidad de Salamanca
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- 3 Instituto Politécnico de Bragança, Campus de Santa Apolonia
- Javier Parra Domínguez (ed. lit.)
- Sara Rodríguez González (ed. lit.)
- Javier Prieto Tejedor (ed. lit.)
- Juan Manuel Corchado Rodríguez (ed. lit.)
Éditorial: Ediciones Universidad de Salamanca ; Universidad de Salamanca
ISBN: 978-84-1311-579-5
Année de publication: 2021
Pages: 59-75
Congreso: Workshop on disruptive information and communication technologies for innovation and digital transformation (3. 2020. Salamanca)
Type: Communication dans un congrès
Résumé
With the emergence of disruptive technologies such as the Internet of Things (IoT), Industry 4.0 or Virtual Reality (VR), among others,there are more and more services and devices with different more and more services and devices with different characteristics that are interconnected through communication networks and require computing and storage capacities with which, in principle, they do not have. The cloud computing solution was proposed to overcome this problem by entrusting the heaviest tasks to a central server with high computational power. At first glance, this approach solves the problem, but as these central servers (data centres) are usually located far away from the end devices, especially concerning increased latency. The following proposal is MEC (Multiaccess Edge Computing), which is similar to MEC (Multiaccess Edge Computing), which is identical to MEC (Multiaccess Edge Computing), which is similar to cloud computing but relieson servers closer to the users, i.e. «at the edge» of the access network, instead of distant servers «at the edge» of the access network. This article provides a review of the main features of SCM, with an emphasis on its applicationin scenarios such as many Spanish-Portuguese regions, with low population density, large distances between cities or population, large distances between cities or towns, and with a significant percentage of rural environments.