Middleware Static Model Map for Component Behavior Analysis
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Solution Overview
Problem
Diagnosing problems in middleware systems is complex due to the need to analyze multiple components involved in request processing, which can lead to increased data requirements, complex network representations, and potential duplicate analysis, making it difficult to identify system issues efficiently.
Innovation Solution
A static model map of behaviors is provided to categorize locations within the middleware system as 'wait' or 'execution' locations, allowing independent analysis of components and identifying problem aspects that affect response time, enabling phased analysis without affecting other components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all components in the middleware system are analyzed together to detect contributing components, then comprehensive problem detection is achieved, but analysis complexity and time increase significantly
Solution Approach 1:
The patent segments the middleware system into multiple independent component models, each representing a specific component's behavior. Instead of analyzing all components simultaneously as a tangled network, the system divides the analysis into separate component-level analyses. Each component model can be analyzed independently to detect contributing factors, thereby reducing overall analysis complexity while maintaining comprehensive problem detection capability.
2Measurement precision
If a new set of components is analyzed for every request problem, then accurate problem detection is achieved, but duplicate analysis and resource waste occur
Solution Approach 1:
The patent creates component models that capture the behavioral characteristics and contributing factors of each component in advance. These pre-built models store information about how components behave under different conditions and their potential contribution to problems. When a request problem occurs, the system can quickly query these pre-prepared models instead of performing complete re-analysis, thereby eliminating duplicate analysis efforts and reducing time loss while maintaining accurate problem detection.
3Loss of information
If runtime view of the entire system is analyzed, then complete system understanding is achieved, but data requirements and processing burden increase
Solution Approach 1:
The patent extracts essential behavioral characteristics and contributing factor information from the complex runtime system state into simplified component models. Each component model contains only the relevant information needed to analyze that component's contribution to problems, rather than storing complete runtime state data for all components. This extraction process reduces data requirements and processing burden while maintaining complete system understanding through the aggregated component models.
Data Source
AI summary
A system and method for providing a static model map of behaviors in a middleware system, for use in identifying problems. In accordance with an embodiment, the system provides a view of the system which allows for analysis of the various components. Locations within the system where a request spends its time are categorized into either “wait” or “execution” locations. The components exhibit static behaviors which affect the response time and can be predefined for different types of components and analyzed independently. In turn the behaviors can be classified as either “wait” or “execution”, each of which can be considered aspects of a component. Each aspect of a component must satisfy the same efficiency/inefficiency as defined by the requirements on the system. An aspect that does not meet the criteria is considered a “problem aspect” and is analyzed further to find the cause of the problem.