Report
The growing demand for data and applications such as deep learning has led to a surge in network traffic and energy consumption.
Traditional server architectures are inefficient, driving up costs and energy use. The ECO-TAP project tackles this by using server disaggregation, where servers are dynamically assembled from essential components. This increases resource efficiency, reduces energy consumption, and lowers costs.
The project also introduces a Hybrid Cellular-Switched Topology to improve server connections’ energy efficiency and performance. This project review aims to provide a comprehensive evaluation of ECOTAP project's R&D efforts.
We will assess the project's success against its intended scope, aims, and benefits, and identify key lessons learned. This review will offer valuable insights to inform and enhance future projects.
