Deep Embedded Self Organizing Map (DESOM), a hybrid Deep Neural Network based Autoencoder-Decoder (AE-DE) with an embedded Self Organizing Map (SOM), is applied successfully for the first time to detect anomaly in the performance metrics of mobile network entities...
As far as research is concerned, deep learning works seamlessly in the lab today. However, businesses are running into trouble when trying to commercialize deep learning into a product or real-world application. Deep learning deployment today is limited mostly to...
This presentation will examine one of the myths busted by MythBusters®. The myth had to do with the most efficient way to queue customers checking out of a grocery store; a single line for all customers or one line per checker. Queuing theory tells us that a single...
With the growing popularity of logging and distributed tracing for observability into our systems, attention needs to be paid to the overhead and impact of the logging and the tracing itself. In this session, we make the case for attention to logging, tracing, and...
The way we develop and operate software is changing – and performance engineering should change too to remain relevant. It is not happening the first time in history – performance engineering has a long history that can be traced at least to 1960s – and we will...
As a user, we are very confined to watching different data in tables, charts, and graphs format. But the right visualizations can and should help you enabling you to analyze even larger data sets. While moving from antiquated excel sheets is a step in the right...
