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Fabrizio Granelli

Researcher at University of Trento

Publications -  282
Citations -  4498

Fabrizio Granelli is an academic researcher from University of Trento. The author has contributed to research in topics: Wireless network & Efficient energy use. The author has an hindex of 32, co-authored 255 publications receiving 3931 citations. Previous affiliations of Fabrizio Granelli include University of Genoa.

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Journal ArticleDOI

Energy-efficient data replication in cloud computing datacenters

TL;DR: This paper studies data replication in cloud computing data centers and considers both energy efficiency and bandwidth consumption of the system, in addition to the improved quality of service QoS obtained as a result of the reduced communication delays.
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Electric Power Allocation in a Network of Fast Charging Stations

TL;DR: In this paper, the authors examined a network of charging stations equipped with an energy storage device and proposed a scheme that allocates power to them from the grid, as well as routes customers.
Journal ArticleDOI

End-to-end Network Slicing for 5G Mobile Networks

TL;DR: The emerging concept of network slicing that is considered one of the most significant technology challenges for 5G mobile networking infrastructure is introduced, preliminary research efforts to enable end-to-end network slicing for 5Gs mobile networking are summarized, and application use cases that should drive the designs of the infrastructure of network sliced are discussed.
Journal ArticleDOI

A Software-Defined Device-to-Device Communication Architecture for Public Safety Applications in 5G Networks

TL;DR: A hierarchal D2D communication architecture where a centralized software-defined network (SDN) controller communicates with the cloud head to reduce the number of requested long-term evolution (LTE) communication links, thereby improving energy consumption is proposed.
Proceedings ArticleDOI

Energy-efficient data replication in cloud computing datacenters

TL;DR: This work considers both energy efficiency and bandwidth consumption of the system, in addition to the improved Quality of Service (QoS) as a result of the reduced communication delays, during extensive simulations of data replication in cloud computing data centers.