Robotic Fleet Provisioning Using Distributed Edge Resource Rules

The patent segments the centralized database into multiple distributed edge devices that store and process data locally. Each edge device maintains a local copy of the database and can independently process queries, eliminating the need to transmit all data to a central server. This segmentation reduces network bandwidth consumption while preserving comprehensive data analysis capability through distributed query processing.

The patent introduces edge devices as intermediary components between the data sources and the central system. These edge devices aggregate and pre-process data locally, serving as intermediaries that reduce the volume of data transmitted over the network while maintaining the ability to perform comprehensive analysis through coordinated query processing across multiple edge devices.

The patent implements a universal query processing framework that can operate across both centralized and distributed architectures. The system uses standardized query languages and processing mechanisms that work whether data is stored centrally or distributed across edge devices, reducing system complexity by providing a unified approach rather than requiring separate handling for different architectures.

The patent employs approximate query processing that returns partial results when exact answers are not immediately available from local edge devices. This approach accepts partial action (approximate results) to maintain fast processing speeds, while allowing for subsequent refinement if needed, thus balancing processing speed with result accuracy without requiring complex coordination mechanisms.

The patent implements approximate query processing that returns partial or estimated results when exact answers would require excessive processing time. The system uses sampling, aggregation, and statistical methods to provide timely responses with acceptable accuracy, accepting partial action (approximate results) to maintain fast response times while preserving sufficient measurement precision for most practical applications.

The patent dynamically adjusts the level of approximation in query results based on the specific query requirements, data availability, and time constraints. For time-critical queries, the system provides faster approximate results, while for queries requiring high precision, it allows more processing time or coordinates with other edge devices to obtain exact answers, thus dynamically balancing response time and measurement precision.