Understanding lifecycle management complexity of datacenter topologies
Understanding lifecycle management complexity of datacenter topologies Zhang et al., NSDI’19
There has been plenty of interesting research on network topologies for datacenters, with Clos-like tree topologies and Expander based graph topologies both shown to scale using widely deployed hardware. This research tends to focus on performance properties such as throughput and latency, together with resilience to failures. Important as these are, note that they’re also what’s right in front of you as a designer, and relatively easy to measure. The great thing about today’s paper is that the authors look beneath the surface to consider the less visible but still very important “lifecycle management” implications of topology design. In networking, this translates into how easy it is to physically deploy the network, and how easy it to subsequently expand. They find a way to quantify the associated lifecycle management costs, and then use this to help drive the design of a new class of topologies, called FatClique.
… we show that existing topology classes have low lifecycle management complexity by some measures, but not by others. Motivated by this, we design a new class of topologies, FatClique, that, while being performance-equivalent to existing topologies, is comparable to, or Continue reading
“When you deal with Kubernetes in the core of a network, dealing with quarterly updates is one...
On the heels of its $6.9 billion Mellanox purchase, the chip company used the GPU Technology...
VMware’s latest cloud push includes more VMware Cloud on AWS regions, expanded multi-cloud...
Enterprises are primarily using AI in the cloud to increase revenue and free up employees’ time...
TDC CEO Allison Kirby told local media that the operator “is not blind” to the widely held...