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

BGP Security – how Big-data can help detect attacks

https://pixabay.com/en/bigdata-security-technology-digital-1423786/ On the 26th of April, 2017, a ‘prefix hijacking’ event occurred that affected a number of financial services companies around the world. The impact of the event was such that traffic was in part, diverted and directed to another network that claimed to be the owner of the IPv4 address space. The nature of … Continue reading BGP Security – how Big-data can help detect attacks

An analytics-based approach to service assurance: Part 2 – Is analytics the answer?

Service assurance is not something that is well defined within the industry.  So what is it that we are trying to achieve with service assurance?  Simply put: I want to know that my services are working and if they’re not I want to be proactively informed (service health) If they aren’t working, I want to […]

An analytics-based approach to service assurance: Part 1 – What’s the problem?

Service assurance is not something that is well defined within the industry.  So what is it that we are trying to achieve with service assurance?  Simply put: I want to know that my services are working and if they're not I want to be proactively informed (service health) If they aren't working, I want to … Continue reading An analytics-based approach to service assurance: Part 1 – What’s the problem?

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