What type of data does cyclic storage typically track?

Cyclic storage is designed to track data at defined intervals, capturing and storing information at specific, regular timeframes, such as every minute or hour. This approach is beneficial for monitoring trends and analyzing patterns over time, as it provides a consistent timeline of recorded data points.

In contrast to other options, real-time feedback does not involve regular intervals but rather focuses on instantaneous data changes. Historical averages would involve summarizing existing data rather than focusing on consistent intervals for data collection. Snapshot data captures the state at a specific moment but does not reflect continuous tracking over time. Cyclic storage, therefore, excels in systematically logging data points that can later be analyzed for trends, making it ideal for performance monitoring and historical analysis.