CAETI
Centro de Altos Estudios en Tecnología Informática
Buenos Aires
Automatización y Robótica
Hive: Framework de sincronización de objetos en la nube para sistemas distribuidos multiplataforma
An edge focused distributed shared memory
Año: 2020
OTRO: DOI: 10.1007/978-3-030-61218-4_2
Idioma: Inglés
Resumen
Edge computing proposes access to largely unused computational resources without the added cost of the latency between the user and the Cloud. To take advantage of it we designed and implemented an abstraction layer compatible with standard JavaScript that builds a distributed shared memory on top of any existing web browser, like the ones present in smartphones or tablets, and a cloud server, enabling developers to use existing application code and enhance it by enabling collaboration between those devices. The synchronization mechanism supports mixed consistency, preferring eventual consistency but providing a stronger serializability when required, allowing the developers to tune it to their specific needs.
Integrantes
Matías Iván Teragni (Autor)
Jorge Ricardo Morán (Autor)
Gonzalo Esteban Zabala (Autor)
Archivos
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Matías Teragni, Ricardo Moran, Gonzalo Zabala (2020). “An Edge Focused Distributed Shared Memory”. In: Rucci E., Naiouf M., Chichizola F., De Giusti L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2020. Communications in Computer and Information Science, vol 1291. Springer, Cham. Print ISBN 978-3-030-61217-7 - Online ISBN 978-3-030-61218-4. https://doi.org/10.1007/978-3-030-61218-4_2
Springer An Edge Focused Distributed Shared Memory.pdf