Why Machine Learning Is Hard to Apply to Networking

Why Machine Learning Is Hard to Apply to Networking

Why Machine Learning Is Hard to Apply to Networking

Machine learning is becoming a buzzword—arguably an overused one—among companies that deal with networking. Recent announcements have touted machine learning capabilities at Google, Hewlett Packard Enterprise (HPE), and Nokia, for instance.

But machine learning isn’t being applied to networking itself. Why is that?

The intersection of machine learning and networking is where David Meyer, chief scientist at Brocade, has been working. After serving a term as the first chairman of the OpenDaylight Project’s Technical Steering Committee (TSC), Meyer shifted his work into the realm of artificial intelligence.

Even though networking has “just massively more compute and massively more data” available, it’s not yet clear how machine learning can be applied there, Meyer says.

What’s missing, he believes, is a theory of networking.

A rich body of academic work backs the networks we use today, certainly, but there is no unifying theory defining how a network, in an abstract sense, ought to behave, or how it ought to be structured. The networks that form the Internet certainly share some core principles, but they weren’t built from a central theory. They emerged through trial-and-error, “some good ideas and people telling each other how to do it,” Meyer says.

Read Also:
Big Data No Longer a Big Problem

Machine learning, on the other hand, “is just math,” he says, and math requires models.

 



HR & Workforce Analytics Summit 2017 San Francisco

19
Jun
2017
HR & Workforce Analytics Summit 2017 San Francisco

$200 off with code DATA200

Read Also:
Open data creates new business

M.I.E. SUMMIT BERLIN 2017

20
Jun
2017
M.I.E. SUMMIT BERLIN 2017

15% off with code 7databe

Read Also:
Bandwidth and latency must factor into your big data strategy

Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
How To Hire Analytical Workers: 10 Traits To Seek

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
This technology is keeping data more secure than ever

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
This technology is keeping data more secure than ever
Read Also:
How To Hire Analytical Workers: 10 Traits To Seek

Leave a Reply

Your email address will not be published. Required fields are marked *