Timingby

Timingby is a framework for synchronizing events in time-sensitive workflows by tying actions to a master timing reference. It provides a structured approach to schedule and log events using a common clock, enabling reproducibility across devices and systems. The concept emphasizes explicit time references and metadata to map local event times to a shared timeline.

Its core components include a master timeline, time bases (such as system clock, network time, or external clock), and timing metadata that describes offsets, sampling rate, and acceptable jitter. Implementation typically involves publishing a timing beacon or timestamped messages that other components use to align their local clocks and event queues. In practice, Timingby enables precomputed event times and real-time adjustments to compensate for drift.

Applications for Timingby span several fields. In neuroscience, it supports synchronized stimulus delivery and brain recordings. In multimedia environments, it helps keep video, audio, and lighting aligned across devices. It also serves distributed data collection and logging, as well as live performance systems where precise timing is critical.

Advantages of the approach include improved reproducibility, consistent cross-device alignment, and easier data integration across platforms. It can simplify complex workflows by providing a shared frame of reference for events and measurements.

Limitations include the need for careful calibration and ongoing maintenance, potential latency overhead, and reliance on a reliable timing channel. Interoperability can be hindered by a lack of universal standards or agreed-upon profiles, requiring careful implementation and validation.

Related concepts include time synchronization, timestamping, and clock drift management. Timingby represents a structured approach to aligning events in time-critical, multi-device environments.