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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Petrov, R. H. | Madrid |
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Bih, L. |
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Casati, R. |
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Kočí, Jan | Prague |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Saleh, Saad
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document
Memristor-Based Cognitive Network Packet Processors
Abstract
The current internet architecture comprises of a series of data processing entities, called packet processors, requiring high energy consumption and lacking cognitive functionalities for the Internet traffic. With the discovery of a novel physical component Memristor, the network packet processors can provide cognitive functions with less energy consumption than the prior state-of-the-art techniques. The combination of storage and computation inside the memristors can efficiently deploy neuromorphic computing models on network packet processors along with a decrease in the energy consumption and latency. In this research, we present the cognitive models & network functions using the memristor-based novel computing architectures for use in network packet processors.