Browsing by Author "Cominardi, Luca"
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Item type:Item, An Integrated, Virtualized Joint Edge and Fog Computing System with Multi-RAT Convergence(2018-01-01) ;Rapone, Damiano ;Quasso, Roberto ;Chundrigar, Shahzoob Bilal ;Talat, Samer T.Cominardi, LucaNotably, developing an innovative architectural network paradigm is essential to address the technical challenging of 5G applications' requirements in a unified platform. Forthcoming applications will provide a wide range of networking, computing and storage capabilities closer to the endusers. In this context, the 5G-PPP Phase two project named "5G-CORAL: A 5G Convergent Virtualized Radio Access Network Living at the Edge" aims at identifying and experimentally validating which are the key technology innovations allowing for the development of a convergent 5G multi-RAT access based on a virtualized Edge and Fog architecture being scalable, flexible and interoperable with other domains including transport, core network and distant Clouds. In 5G-CORAL, an architecture is proposed based on ETSI MEC and ETSI NFV frameworks in a unified platform. Then, a set of exemplary use cases benefiting from Edge and Fog networks in near proximity of the end-user are proposed for demonstration on top of connected car, shopping mall and high-speed train platforms.Item type:Item, Opportunities and Challenges of Joint Edge and Fog Orchestration(2018-01-01) ;Cominardi, Luca ;Abdullaziz, Osamah Ibrahiem ;Antevski, Kiril ;Chundrigar, Shahzoob BilalGdowski, RobertPushing contents, applications, and network functions closer to end users is necessary to cope with the huge data volume and low latency required in future 5G networks. Edge and fog frameworks have emerged recently to address this challenge. Whilst the edge framework was more infrastructure-focused and more mobile operator-oriented, the fog was more pervasive and included any node (stationary or mobile), including terminal devices. This article analyzes the opportunities and challenges to integrate, federate, and jointly orchestrate the edge and fog resources into a unified framework.