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hXDP: Efficient Software Packet Processing on FPGA NICs
FPGA accelerators on the NIC enable the offloading of expensive packet p...
10/27/2020 ∙ by Marco Spaziani Brunella, et al. ∙
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"5G Densification Increases Human Exposure to Radio-Frequency Pollution": True or False?
A very popular theory circulating among non-scientific communities claim...
10/02/2020 ∙ by Luca Chiaraviglio, et al. ∙
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Is It Safe Living in the Vicinity of Cellular Towers? Analysis of Long-Term Human EMF Exposure at Population Scale
We focus on the ElectroMagnetic Field (EMF) exposure safety for people l...
02/03/2020 ∙ by Luca Chiaraviglio, et al. ∙
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LOcAl DEcisions on Replicated States (LOADER) in programmable data planes: programming abstraction and experimental evaluation
Programmable data planes recently emerged as a prominent innovation in S...
01/21/2020 ∙ by German Sviridov, et al. ∙
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Will the Proliferation of 5G Base Stations Increase the Radio-Frequency Pollution?
A common concern among the population is that installing new 5G Base Sta...
12/02/2019 ∙ by Luca Chiaraviglio, et al. ∙
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Sequential Waterfilling for Adaptive Data Rate allocation in LoraWAN
LoRaWAN (Long Range Wide Area Network) is emerging as an attractive netw...
07/15/2019 ∙ by Giuseppe Bianchi, et al. ∙
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Killing the Password and Preserving Privacy with Device-Centric and Attribute-based Authentication
Current authentication methods on the Web have serious weaknesses. First...
11/20/2018 ∙ by Kostantinos Papadamou, et al. ∙
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Quantum Internet: Networking Challenges in Distributed Quantum Computing
By networking multiple quantum devices, the Quantum Internet builds up a...
10/19/2018 ∙ by Angela Sara Cacciapuoti, et al. ∙
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Quantum Internet: from Communication to Distributed Computing!
In this invited paper, the authors discuss the exponential computing spe...
05/11/2018 ∙ by Marcello Caleffi, et al. ∙
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Geographical Load Balancing across Green Datacenters
"Geographic Load Balancing" is a strategy for reducing the energy cost o...
12/12/2016 ∙ by Giovanni Neglia, et al. ∙
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BLC: Private Matrix Factorization Recommenders via Automatic Group Learning
We propose a privacy-enhanced matrix factorization recommender that expl...
09/18/2015 ∙ by Alessandro Checco, et al. ∙
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