[Nmlrg] Using Machine Learning for Network Device Initial Configurations-//RE: Machine Learning in network

Hi all,

We're working on a use case of applying Machine Learning technologies to network device initial configuration.
The basic scenario is to learn knowledge/patterns of how to configure a device from historical data (device configuration data of a number of networks ) and then apply them to the new networks.

This is to leverage the automation on network initial configuration and only require a minimal set of input such as high-level network planning, which includes architecture design, address pool/block assignment, protocol selection etc.

The advantages of using Machine Learning on network initial configuration could possibly be:
- Saving human cost
- Flexibility
  - dynamically generating configurations on site
  - adaptive to different types of networks
- The ability to continuously optimize the parameters, if the program also learning the running performance
- etc.

Comments are welcomed.

Best regards,
Bing

> -----Original Message-----
> From: nmlrg [mailto:nmlrg-bounces@irtf.org] On Behalf Of Sheng Jiang
> Sent: Monday, August 31, 2015 11:16 AM
> To: nmlrg@irtf.org
> Subject: [Nmlrg] Machine Learning in network - solicitation for use cases
> 
> Hi, all,
> 
> Thanks for subscribe to NMLRG (Network Machine Learning) mail list. As we
> know, there are already many ongoing researches for Machine Learning in
> network, in many areas. But up to now, there are few matured applications
> yet. So it is the time for a Research Group to work on this future-oriented
> technology.
> 
> The first step would be to collect possible use cases: where the machine
> learning mechanism could be used in networks. The use cases does not need
> to be mature, but should have potential.
> 
> Note that this topic is rapidly moving from academic research into practical
> application. Therefore, use cases from university environments, industrial
> research and development organizations are all welcome.
> 
> Best regards,
> 
> Sheng
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[Nmlrg] Using Machine Learning for Network Device Initial Configurations-//RE: Machine Learning in network - solicitation for use cases