Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Self-Adjusting Networks for Optimized Datacenter Topology Design

Scalable Parallel Computing Lab, SPCL @ ETH Zurich via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 40-minute conference talk by Stefan Schmid on self-adjusting networks, presented at SPCL_Bcast on October 27, 2022. Delve into the challenges of modern datacenter topology designs, including static, dynamic demand-oblivious, and dynamic demand-aware switches. Discover the concept of self-adjusting networks that optimize and match their traffic workload. Learn about information-theoretic metrics for quantifying communication traffic structure and achievable performance in demand-matching datacenter networks. Examine network design principles, identify open research challenges, and understand how self-adjusting networks and demand-aware graphs relate to classic optimization problems in theoretical computer science. The talk begins with a brief speaker introduction, followed by the main presentation.

Syllabus

Speaker Introduction
Talk

Taught by

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Reviews

Start your review of Self-Adjusting Networks for Optimized Datacenter Topology Design

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.