The computing continuum combines computational resources and services from edge to cloud, promising enhanced efficiency and resilience with respect to the traditional siloed based approach. This study presents the REAR (Resource Advertisement and Reservation) protocol, which tackles the complexities of managing resources within this continuum. REAR establishes standardized interfaces to enable interoperability, enhances resource allocation efficiency, and maintains security measures for workload execution. The paper details the protocol’s design, key components, operational workflows, and potential uses, contributing to the optimization of resource use across the computing continuum.
Building the Cloud Continuum with REAR / Galantino, Stefano; Albanese, Elisa; Asadov, Nasir; Braghin, Stefano; Cappa, Francesco; Colli-Vignarelli, Andrea; Majid, Amjad; Marin, Eduard; Marino, Jacopo; Moro, Lorenzo; Nedoshivina, Liubov; Risso, Fulvio; Siracusa, Domenico; Fernando Skarmeta Gomez, Antonio; Zuanazzi, Luca. - (2024), pp. 67-72. (Intervento presentato al convegno NetSoft 2024 - 3rd International Workshop on Edge Network Softwarization - ENS 2024 tenutosi a Saint Louis, MO (USA) nel 24-28 June 2024) [10.1109/NetSoft60951.2024.10588885].
Building the Cloud Continuum with REAR
Stefano Galantino;Francesco Cappa;Andrea Colli-Vignarelli;Jacopo Marino;Lorenzo Moro;Fulvio Risso;Domenico Siracusa;
2024
Abstract
The computing continuum combines computational resources and services from edge to cloud, promising enhanced efficiency and resilience with respect to the traditional siloed based approach. This study presents the REAR (Resource Advertisement and Reservation) protocol, which tackles the complexities of managing resources within this continuum. REAR establishes standardized interfaces to enable interoperability, enhances resource allocation efficiency, and maintains security measures for workload execution. The paper details the protocol’s design, key components, operational workflows, and potential uses, contributing to the optimization of resource use across the computing continuum.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2989397