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
  • 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      
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