Enormous amounts of time series are being collected in many different domains. These
include, but are not limited to, aviation, computing, energy, finance, logistics, and medicine …

For enterprise storage systems, users' directory/file and IO access traces are critical for fine-
tuning and new designs. However, once these systems are deployed, only trace features …

Time series databases play a critical role in large-scale performance monitoring systems.
Metrics are required to be observable immediately after being generated to support real-time …

In IoT (internet of things), most data from the connected devices change with time and have
sampling intervals, which are called time-series data. It is challenging to design a time series …

Timeseries management systems play an important role in IoT and performance monitoring.
As the data volume scales up, absorbing data memory efficiently with high throughput …

The proliferation of big data pipelines has spurred collaborative efforts across multiple
disciplines to explore the intricacies of those domains. One notable collaboration involves …

To understand the complex interactions in modern software, engineers often rely on detailed
kernel telemetry. Increasingly, developers have turned to eBPF (the extended Berkeley …

To understand the complex interactions in modern software, engineers often rely on high-
frequency telemetry (HFT) data generated via tools like eBPF. However, today's database …