C1b3rWall Academy Module 1 on networks and architectures covers the fundamentals needed to understand the new technologies that are being developed in the area of Data Center networking.

“Lossless Ethernet in High Performance Converged Networks” is the title of the lecture that belongs to Module 1 of C1b3rWall Academy 2021: “Networks and architectures”, which is being taught by Victor Jimenez Ramos, IP CTO of Huawei Enterprise Spain who has more than 20 years of experience in the area of IP Networking and is a specialist in the design and the practical application of networking solutions in Campus and Data Center networks.

Ethernet is a fairly old technology (its first uses date back to the 80s) which has been gradually gaining popularity on a global scale. Its latest version was created in 2017, offering effective transmission rates of 400Gbps and running at a speed of over 1Tbp. This technology is known for its simple protocol and for being low-cost, easy to use and scalable.

What is the reason for Ethernet’s success?

Ethernet has succeeded because of the characteristics described above (low cost, protocol simplicity…), but it is important to point out what it does not do and what its weak points are: reliability, efficiency and non-deterministic origin, without an exact pattern of when data are sent or how they arrive. For this reason, in the late 2000s, there was renewed interest in finding an alternative that would prevent the loss of frames or packets, so that Ethernet could be used for networking across Data Centres.

The availability of efficient but at the same time low-cost network systems can help make the most of the compute and storage infrastructure, while keeping the cost and complexity of the learning curve to a minimum. You can read the full article on News-365.

If you would like to learn more about this topic or other issues concerning new technologies in Data Center networking do not miss the opportunity to enrol in the C1b3rWall Academy 2021 for free.

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.