| Title | CIED - rapid composability of rack scale resources using Capability Inference Engine across Datacenters |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Banakar, V., Upadhya, P., Keshavan, M. |
| Conference Name | 2020 IEEE Infrastructure Conference |
| Keywords | composability, converged infrastructure, data privacy, datacenter, Datacenter automation, Hardware, Production facilities, pubcrawl, security, Servers, temperature, Wiring |
| Abstract | There are multiple steps involved in transitioning a server from the factory to being fully provisioned for an intended workload. These steps include finding the optimal slot for the hardware and to compose the required resources on the hardware for the intended workload. There are many different factors that influence the placement of server hardware in the datacenter, such as physical limitations to connect to a network be it Ethernet or storage networks, power requirements, temperature/cooling considerations, and physical space, etc. In addition to this, there may be custom requirements driven by workload policies (such as security, data privacy, power redundancy, etc.). Once the server has been placed in the right slot it needs to be configured with the appropriate resources for the intended workload. CIED will provide a ranked list of locations for server placement based on the intended workload, connectivity and physical requirements of the server. Once the server is placed in the suggested slot, the solution automatically discovers the server and composes the required resources (compute, storage and networks) for running the appropriate workload. CIED reduces the overall time taken to move hardware from factory to production and also maximizes the server hardware utilization while minimizing downtime by physically placing the resources optimally. From the case study that was undertaken, the time taken to transition a server from factory to being fully provisioned was proportional to the number of devices in the datacenter. With CIED this time is constant irrespective of the complexity or the number of devices in a datacenter. |
| DOI | 10.1109/IEEECONF47748.2020.9377619 |
| Citation Key | banakar_cied_2020 |
CIED - rapid composability of rack scale resources using Capability Inference Engine across Datacenters