State Correlation Engine for Continuous Rule Evaluation
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Solution Overview
Problem
Existing state correlation engines face performance issues and flexibility constraints when handling semantically rich artifacts and integrating with orthogonal paradigms, particularly in supporting complex event processing and business workflows, leading to integration challenges and inefficiencies.
Innovation Solution
A state correlation engine that implements stateful, continuous evaluation of rules through event-condition-action cycles, using condition networks and adapters to manage events and actions, allowing for asynchronous execution and seamless interoperability across different paradigms, thereby optimizing condition evaluations and reducing memory footprint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a workflow engine handles execution of executable instances of business process models using control flow based paradigm, then business processes can be implemented in enterprise systems, but performance issues and flexibility constraints occur when handling semantically rich artifacts and integrating with orthogonal paradigms
Solution Approach 1:
The state correlation engine serves multiple paradigms (event-driven, state-based, and workflow) through a unified execution mechanism. It can process event-condition-action rules, state transitions, and workflow executions using the same core architecture, enabling seamless integration across orthogonal paradigms without requiring separate specialized engines for each paradigm.
Solution Approach 2:
The patent introduces an intermediary layer that translates between different paradigm representations and the underlying state correlation mechanism. This intermediary handles the conversion of workflow models, event definitions, and state specifications into a unified internal representation, facilitating integration while abstracting the complexity from users of each specific paradigm.
2Productivity
If continuous evaluation of rules is performed with stateful execution, then complex event processing and business workflows can be supported, but runtime overhead and memory consumption increase
Solution Approach 1:
The system performs preliminary compilation and validation of event-condition-action rules during system initialization or deployment phases. Complex patterns are pre-processed and optimized into efficient execution plans, reducing the computational burden during runtime continuous evaluation. This allows the system to handle complex event processing requirements while minimizing runtime overhead.
Solution Approach 2:
The state correlation engine implements selective state maintenance, tracking only the specific state variables and conditions relevant to currently active rules and events. Rather than maintaining complete system state for all possible rules, the engine dynamically adjusts which state information is preserved in memory, reducing memory consumption while still supporting complex event processing through targeted state tracking.
Data Source
AI summary
Methods and apparatus, including computer program products, related to stateful, continuous evaluation of event-condition-action rules by a state correlation engine. In general, one or more events may be determined to have occurred and an event-condition-action cycle may be caused to be processed for the events. The event-condition-action cycle may include evaluating condition networks based on a state of execution of the state correlation engine that includes the events, where the state of execution is based on a state of execution before the events, and enabling the actions to be executed if evaluation of the condition networks with the state of execution is to result in one or more actions being enabled.