publication . Conference object . 2019

fogØ5: Unifying the computing, networking and storage fabrics end-to-end

Angelo Corsaro; Gabriele Baldoni;
Open Access
  • Published: 28 Jan 2019
Fog computing aims at providing horizontal, system-level, abstractions to distribute computing, storage, control and networking functions closer to the user along a cloud-to-thing continuum. Whilst fog computing is increasingly recognized as the key paradigm at the foundation of Consumer and Industrial Internet of Things (IoT), most of the initiatives on fog computing focus on extending cloud infrastructure. As a consequence, these infrastructure fall short in addressing heterogeneity and resource constraints characteristics of fog computing environments. In this paper, we (1) explain the requirements of fog computing infrastructure and how they extend well beyond those traditionally addressed by Cloud Computing infrastructures; (2) introduce fog?5, a fog Infrastructure that unifies computing, networking and storage fabrics end-to-end, while addressing the challenges imposed by resource heterogeneity, (3) explain the novel architectural approach adopted by fog?5 to have a server-less data-centric architecture that is scalable, secure, and highly resilient to failures, (4) demonstrate the use of fog?5 in some real-world use cases and (5) conclude and reports on future works.
Persistent Identifiers
ACM Computing Classification System: ComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Fog Computing; Edge Computing; MEC; Internet of Things; cyber-physical systems;virtualisation;IoT infrastructure;fog05;fog computing platform;function virtualization; platform-as-a-service layer; Multi-Access Edge Computing;, Computer science, Server, End-to-end principle, Resource (project management), Cyber-physical system, Cloud computing, business.industry, business, Computer security, computer.software_genre, computer, Edge computing, Virtualization, Scalability
Funded by
  • Funder: European Commission (EC)
  • Project Code: 761508
  • Funding stream: H2020 | IA
Validated by funder
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Conference object . 2018
Providers: ZENODO
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