资 源 简 介
Triton Networking
PortLand
Increasingly computation and storage are migrating to dense data centers spread across the planet. Common web requests to services such as Facebook and Amazon run on hundreds or even thousands of machines randomly distributed across data centers that consist of tens or even hundreds of thousands of machines. With the advent of open source data-parallel toolkits such as Hadoop, organizations are able to process petabytes of data spread across thousands of machines.
A common performance bottleneck in all of these scenarios is often the underlying network interconnecting the machines in a data center. Modern parallel and distributed applications demonstrate little data locality and so applications may often be blocked waiting to send data to or receive data from other nodes.
The goal of our work is to address some of the fundamental challenges in building ultra large-scale network fabrics
Unified layer 2 fabric:
