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Detection of Performance Anomaly using DESOM

Detection of Performance Anomaly using DESOM

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...
MythBusters® vs. Queuing Theory – Reality trumps Theory

MythBusters® vs. Queuing Theory – Reality trumps Theory

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...
Visibility into Loggers, Tracers, and other Low Level Services

Visibility into Loggers, Tracers, and other Low Level Services

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 Past, Present, and Future of Performance Engineering

The Past, Present, and Future of Performance Engineering

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...
Automated Data Visualization

Automated Data Visualization

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...