IoT Data Hardening for Reliable Cloud Analytics

The patent applies preliminary action by establishing hardening timestamps and timespans before data processing occurs. The system pre-defines acceptable time windows for data validation, ensuring that only data within the expected time range is processed. This prevents delayed or out-of-order data from compromising reliability while maintaining real-time processing capability, as the hardening parameters are set in advance rather than during processing.

The patent applies parameter changes by modifying temporal parameters (timestamp and timespan) of IoT data through hardening. Instead of fundamentally changing the data structure or processing architecture, the system adjusts time-related parameters to validate data within acceptable windows. This approach improves reliability by filtering out delayed or invalid data while maintaining relatively simple processing logic, as it only modifies existing time parameters rather than introducing complex new mechanisms.

The patent applies segmentation by dividing IoT data into segments based on hardening timespans. Data is organized into time-based segments that can be independently accessed and processed. This improves accessibility by allowing queries to target specific time ranges without processing the entire dataset. Regarding storage, the segmentation approach organizes data efficiently by time without requiring additional storage for metadata, as the timespan information is derived from existing timestamp fields rather than requiring separate storage structures.