Valence

Introduction

Rack Scale Design allows considering compute, storage, and networking as disaggregated resource pools that are composed on the fly to meet various needs. Disaggregation in addition to allowing hardware refresh at different rates for each of storage, compute, and networking at different rates also allows for more efficient resource utilization. Imagine a cloud that grew and shrank to meet usage by virtue of being connected to a rack that allowed such dynamic composition and release, where you might compose a node with copious storage or another that provided pure compute horsepower.

To bring such a vision to light, the compute industry collaborated to standardize and define the RESTful RedFish API[1]. Intel PodManager implements the RedFish API. The API in addition to supporting composition and release of nodes supports managing them (power-on/off), discovering hardware capabilities, and even collecting advanced telemetry.

Using the RedFish API one could compose nodes to launch a cloud, monitor its health, nd grow and release nodes