IIn 2011 at NANOG52, a small Tier3 ISP AS19653 joined NANOG. Also in 2011, this small ISP read the paper - The Internet is Flat: Modeling the Transition from a T …

Distributed systems used to be the exception, but today they're the norm, so it's more useful than ever to be able to quantify scalability. Baron Schwartz explains how to use the Universal Scalability Law to characterize how your systems truly behave, why they don't scale like they should, and how to improve them. It's a simple, elegant solution, and, although formal, it requires no math.

Whether an entity seeks to create trading algorithms or mitigate risk, predicting trade volume is an important task. Focusing on futures trading that relies on Apache Spark for processing the large amount data, Tobi Bosede considers the use of penalized regression splines for trade volume prediction and the relationship between price volatility and trade volume.

Never before have organizations wrestled with as much choice in how they compute and where they compute. The public cloud offers freedom from lead times and elasticity to manage changing workloads, bu …

Rodrigo Fontecilla explains how many of the largest airlines use different classes of machine-learning algorithms to create robust and reusable predictive models to provide a holistic view of operations and provide business value.