Centralized Event Correlation for Heterogeneous Enterprise Applications
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Solution Overview
Problem
Existing management and reporting systems for heterogeneous applications in distributed computing environments lack extensibility, requiring significant alterations to accommodate new applications and struggle with data correlation across enterprises, especially when a provider is not responsible for application development or updates.
Innovation Solution
A centralized management platform with an extensible framework that associates providers with enterprises, correlates events based on internal criteria, and allows easy incorporation of new applications, enabling aggregated data presentation across multiple heterogeneous applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proprietary processing mechanisms are implemented for each individual application to accommodate different data formats and reporting mechanisms, then the system can support heterogeneous applications, but the device complexity and resource intensity increase significantly
Solution Approach 1:
The patent implements a universal event processing mechanism that handles multiple application types through a single standardized interface. The event processing service receives events from diverse applications (cloud-based, on-premise, standalone, service architecture) and processes them uniformly using common data structures and processing logic, eliminating the need for separate proprietary mechanisms for each application type.
Solution Approach 2:
The patent standardizes heterogeneous data from different applications into a homogeneous event format. All applications report events using a unified schema with consistent fields (event ID, timestamp, event type, data payload), allowing the processing mechanism to treat all inputs uniformly regardless of their original source or format.
2Adaptability or versatility
If proprietary processing mechanisms are created for each application to handle different data formats, then data from each application can be accommodated, but the loss of time and resources required for data correlation increases
Solution Approach 1:
The patent implements preliminary action by pre-defining event schemas, data structures, and processing rules before events arrive. The system establishes standardized event formats, correlation rules, and processing workflows in advance, so that when events are received from heterogeneous applications, they can be processed immediately using pre-configured mechanisms without time-consuming adaptation or format conversion.
3Ease of manufacture
If the management platform is specifically tailored to individual applications or enterprise suites, then reporting mechanisms can be customized, but the extensibility decreases when new applications need to be incorporated
Solution Approach 1:
The patent segments the management platform into independent, loosely-coupled components: event sources (applications), event processing service, event storage, and reporting modules. Each component operates autonomously with well-defined interfaces. This segmentation allows new applications to be added by simply connecting them to the existing event processing service without modifying the core platform, maintaining both customization capability and extensibility.
4Adaptability or versatility
If data from multiple heterogeneous applications is correlated across different enterprises, then aggregated reporting can be provided, but the device complexity and resource intensity increase
Solution Approach 1:
The patent introduces an intermediary event processing service that acts as a mediator between heterogeneous applications and the reporting system. This intermediary standardizes events from multiple enterprises into a common format, performs initial filtering and aggregation, and manages correlation rules. By centralizing this mediation function, the system reduces the computational resources required at each enterprise level and enables efficient cross-enterprise data correlation through a single coordinated service.
Data Source
AI summary
Systems and methods for extensible management platforms adapted for analysis and reporting of data associated with heterogeneous applications deployed across multiple enterprises are disclosed.


