Correlation Engine Policy Manager Decoupling Business Logic
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Solution Overview
Problem
Existing event-driven architecture (EDA) systems face challenges in efficiently processing and transforming event data in real-time, particularly in decoupling business logic from technical layers and enabling dynamic configuration and scaling of components.
Innovation Solution
The proposed Correlation Engine and Policy Manager (CPE) system incorporates a modular architecture with components like event gate, event enricher, event transformer, and API server, which allows for pluggable and scalable data processing. This system separates business logic from technical layers, enabling real-time data processing and dynamic configuration through an API server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If event data processing is centralized in a monolithic architecture, then system simplicity is maintained, but processing speed and scalability deteriorate
Solution Approach 1:
The system divides event data processing into distinct modular components: event gate for data intake, event enricher for data enhancement, event transformer for data conversion, and event dispatcher for routing. Each component operates independently with defined interfaces, enabling parallel processing and improving overall processing speed while maintaining manageable complexity through clear separation of concerns.
Solution Approach 2:
The patent introduces an event bus as an intermediary communication mechanism that decouples components from direct point-to-point connections. The event bus standardizes data exchange through defined event schemas and handlers, allowing components to interact through a common protocol rather than complex direct connections, thus improving processing efficiency while controlling system complexity.
2Adaptability or versatility
If business logic is tightly coupled with technical layers, then implementation simplicity is maintained, but adaptability and time-to-market for new features deteriorate
Solution Approach 1:
The architecture explicitly separates business logic from technical infrastructure by organizing functionality into distinct layers: event sources and sinks represent business concerns, while event gate, enricher, transformer, and dispatcher represent technical processing layers. This segmentation allows business logic to be modified independently of technical implementations, enhancing adaptability while managing complexity through clear architectural boundaries.
Solution Approach 2:
The system enables dynamic configuration and modification of business logic through pluggable event handlers and configurable event transformation rules. New business requirements can be implemented by adding or modifying event handlers without restructuring the entire system, allowing the architecture to adapt dynamically to changing business needs while maintaining stable technical foundations.
3Productivity
If system components are fixed and non-pluggable, then system stability is maintained, but scalability and ease of extension deteriorate
Solution Approach 1:
The patent implements universal interfaces and standardized event schemas that allow different event sources and sinks to interact through a common protocol. The event bus architecture provides multi-functional capability to handle various event types through a unified mechanism, enabling the system to scale by adding new event handlers without compromising the stability of existing components through consistent interface contracts.
Solution Approach 2:
The system incorporates event correlation and pattern matching mechanisms that provide feedback loops for monitoring and controlling event flows. This feedback capability allows the system to maintain stability through automated event routing and correlation while enabling scalability by dynamically adjusting event processing based on observed patterns and system state.
4Loss of time
If real-time processing is implemented without modular architecture, then low latency is achieved, but system complexity and difficulty of maintenance increase
Solution Approach 1:
The modular event processing pipeline divides real-time data flow into discrete stages (gate, enricher, transformer, dispatcher) that can process events in sequence without blocking. Each stage operates independently with optimized processing logic, reducing overall end-to-end latency while maintaining low complexity through clear separation of processing concerns and defined interface contracts between stages.
Data Source
AI summary
A correlation engine and policy manager (CPE) system includes: a persistent database, a cache database, an event gate, an event enricher, an event transformer, and an event dispatcher. The event gate obtains event data from at least one event source, and forwards the event data to the event enricher. The event enricher enriches the event data with additional data in the cached business layer data of the cache database, and forwards the enriched event data to the event transformer. The event transformer applies one or more policies in a cached business layer data of the cache database to the enriched event data to obtain transformed event data, and outputs the transformed event data to be stored in the persistent database. The event dispatcher dispatches output data to cause or prompt an action responsive to the transformed event data satisfying the at least one policy.