Exception Management in Heterogeneous Computing
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Solution Overview
Problem
In heterogenous computing environments, managing exceptions across diverse components from different vendors is inefficient due to the lack of centralized exception handling, leading to delayed issue resolution and increased system downtime as administrators struggle to identify and address exceptions across isolated log systems.
Innovation Solution
An integrated exception handling manager aggregates exception log entries from multiple sources, registers components, and provides real-time alerts to responsible administrators through an exception repository containing exception code maps and solution maps, facilitating prompt issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators manually monitor and analyze exception logs from multiple heterogenous computing components, then comprehensive exception coverage is achieved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent merges exception log collection from multiple heterogenous computing components into a single centralized exception log. This consolidation allows administrators to monitor all exceptions in one location rather than manually checking multiple distributed log sources, thereby reducing time consumption while maintaining comprehensive exception coverage across the entire computing system.
Solution Approach 2:
The patent introduces a centralized exception management system that acts as an intermediary between heterogenous computing components and administrators. This mediator automatically collects, aggregates, and manages exception logs from various components, eliminating the need for administrators to directly interact with multiple distributed log sources and significantly reducing operational time and complexity.
2Adaptability or versatility
If multiple isolated log systems are used for different computing components, then system modularity and vendor independence are maintained, but exception analysis becomes complex and time-consuming
Solution Approach 1:
The patent implements a universal exception management system that can handle exception logs from multiple heterogenous computing components through a single standardized interface. This multi-functional approach maintains compatibility with various vendors and component types while presenting a unified exception analysis view, thereby reducing management complexity without sacrificing adaptability to diverse computing environments.
Solution Approach 2:
The patent segments the exception management functionality into distinct modular components: exception log collection modules for different computing components, an aggregation module that combines logs, and an analysis module that processes exceptions. This segmentation allows each module to be independently configured for specific component types while maintaining overall system integration, reducing complexity through organized modularity.
3Productivity
If centralized exception handling is implemented across heterogenous computing components, then exception resolution time is reduced, but system integration complexity increases
Solution Approach 1:
The patent introduces a centralized exception management system that serves as an intermediary layer between heterogenous computing components and administrators. This mediator handles the complexity of integration by providing standardized collection and aggregation mechanisms, allowing rapid exception resolution through centralized monitoring while shielding administrators from the underlying integration complexity of heterogenous components.
Solution Approach 2:
The patent implements preliminary exception log collection and aggregation mechanisms that are pre-configured for various computing components. By establishing these collection and aggregation structures in advance, the system enables immediate exception analysis and resolution when exceptions occur, reducing resolution time while the preliminary setup manages the integration complexity beforehand.
Data Source
AI summary
A computer-implemented method includes feeding exception log entries from a plurality of exception logs associated with respective heterogenous computing components into an aggregated exception log comprising aggregated exception log entries, mapping an aggregated exception log entry in the aggregated exception log to a corresponding exception identifier, identifying a descriptor describing an exception condition based on the exception identifier, determining one or more destinations corresponding to the aggregated exception log entry, and routing a notification comprising the descriptor to the one or more destinations.


