Caching Layer Impact on APEX Dashboard Rendering Under Data Volatility

Abstract

Real-time IoT monitoring dashboards in Oracle APEX environments rely on caching layers to
maintain responsive rendering and reduce query load, particularly under high user concurrency.
However, when sensor-driven data streams exhibit rapid fluctuations, caching can introduce temporal
lag, causing dashboards to display outdated or smoothed values that no longer reflect current system
conditions. This study analyzes how different caching strategies behave across varying levels of data
volatility, demonstrating that caching provides clear performance benefits during stable data periods
but degrades informational accuracy when volatility increases. The results highlight that selective,
component-specific caching rather than uniform caching is necessary to preserve both performance
and real-time fidelity. The findings underscore the need for volatility-aware refresh policies,
differentiated cache scopes, and explicit cache-bypass pathways for critical monitoring elements.