NFV Real-time Analytics and Orchestration: Use Cases and Architectural Framework
draft-krishnan-nfvrg-real-time-analytics-orch-01
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Ramki Krishnan , Dilip Krishnaswamy, Diego Lopez , Asif Qamar | ||
| Last updated | 2015-05-15 (Latest revision 2014-11-11) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
One of the key goals of NFV is to optimize the infrastructure resource usage while driving operational simplicity. Real-time analytics providing insight into various components such as compute (e.g. dynamic CPU utilization), storage (e.g. dynamic capacity usage), network (e.g. dynamic bandwidth utilization), energy (e.g. dynamic power consumption) is key to not only providing visibility into the NFV infrastructure and thus driving operational simplicity but also optimizing resource usage for the purposes of orchestration. This draft focusses on use cases and architectural framework for real-time analytics and orchestration including Big Data predictive analytics for addressing the aforementioned requirements.
Authors
Ramki Krishnan
Dilip Krishnaswamy
Diego Lopez
Asif Qamar
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)