Introducing Red PNDA – a PNDA platform for development, demonstration and education

https://www.pexels.com/photo/brown-and-white-grizzly-bear-148182/ https://en.wikipedia.org/wiki/Red_panda - The red panda (Ailurus fulgens), also called the lesser panda, the red bear-cat, and the red cat-bear, is a mammal native to the eastern Himalayas and southwestern China.[1] It has reddish-brown fur, a long, shaggy tail, and a waddling gait due to its shorter front legs; it is slightly larger than a … Continue reading Introducing Red PNDA – a PNDA platform for development, demonstration and education

Is network data big data?

Big data analytics, as with many other new technologies, can suffer from hype together with the trough of disillusionment and scepticism that accompanies it. If network data is big data, we've got no option but to climb up the slope of enlightenment.  Is the problem we have in network data analytics really a big data problem? … Continue reading Is network data big data?

Feedback loops and closed loop control

Closed loop network control is much hyped at the moment, and with good reason; the potential operational savings and service improvements from using the output of analytics to trigger orchestration and control functions to react to problems dynamically, or to automatically optimise the deployed infrastructure and services, are significant.  We’ve previously discussed this in ETSI NFV … Continue reading Feedback loops and closed loop control

Working With Time-series Data in PNDA

In a previous post I talked about integrating OpenDaylight with PNDA. In this post I will start to make use of the data coming from OpenDaylight by building a Spark streaming application to create time-series datasets. This lets us use the Grafana application in PNDA to display time-series graphs. For this example, I have used this if-table-collector OpenDaylight … Continue reading Working With Time-series Data in PNDA

Different ways to query data from PNDA

There are several different methods of storing and querying data in PNDA and they trade off ease of use, query time and flexibility of computation. In this post I give my thoughts on some methods I've used in the past, and tips for when to use each approach. Store data in HDFS and produce static … Continue reading Different ways to query data from PNDA

Data Analytics Platform Capabilities: Taxonomy

We're often asked to compare what we're doing to other projects; we find that it's easier to do this at the capability level, rather than diving straight into technologies.  Hence we've defined this taxonomy (acknowledgement to Pete Rai and his IOT "brain diagram"): In PNDA, as an evolving project, we aim to expand the PNDA … Continue reading Data Analytics Platform Capabilities: Taxonomy