Fulcrum Random Linear Network Coding (RLNC) combines outer coding in a large Galois
Field, eg,, with inner coding in to flexibly trade off the strong protection (low probability of …

Fulcrum coding combines a high-field outer Random Linear Network Coding (RLNC) that
generates outer coding expansion packets with a small-field inner RLNC that combines the …

In an era of rapidly evolving technology, the pursuit of higher data rates, extremely low
latency, and robust reliability is becoming increasingly crucial. Applications such as …

In peer-to-peer (P2P) content distribution systems, network coding is known as a helpful
method for increasing the content availability, accelerating the download process, and …

We formalize and evaluate an adaptation of the Middleware Fulcrum coding scheme,
developed under a Fog computing architecture, for 5G-IoT mobile devices. This adaptation …

In an Internet of Things (IoT), the number of interconnected devices is huge and has been
increasing drastically. Their generated data requires powerful aggregated computing …

Fulcrum decoders can trade off between computational complexity and the number of
received packets. This allows heterogeneous nodes to decode at different level of …

The proposed architecture defines an adaptation of the Fulcrum coding system towards a
Fog computing architecture. The distributed coding scheme allows the adjustment of the …

This paper focuses on integrating Data Plane Development Kit (DPDK) and Service
Function Chaining (SFC) on the OpenStack cloud OS to support network coding, enabling …

Abstract (EN) Two main approaches to achieve reliable data transfer over error-prone
networks are retransmission and Forward Error Correction (FEC). Retransmission …