SLA Risk Analysis for Exogenous IT Architecture
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Solution Overview
Problem
Service level agreements (SLAs) become more complex and challenging when they involve exogenous IT architecture, which is not controlled by the service provider, making it difficult to fulfill the agreed-upon service levels and quality standards.
Innovation Solution
A method and system that analyze the risk of SLAs by integrating internal and external IT architecture data, sensor data, and heuristic data to determine a risk metric, allowing for proactive management and potential issue mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exogenous IT architecture is used to provide service flexibility and resource access, then service versatility is improved, but system reliability deteriorates due to lack of control
Solution Approach 1:
The patent implements continuous monitoring of exogenous IT architecture through sensors and data collection mechanisms, feeding real-time status information back to the service provider. This feedback loop enables detection of potential failures and performance degradation, allowing corrective actions to maintain reliability while using external resources.
Solution Approach 2:
The patent introduces an intermediary monitoring and management system that acts as a bridge between the service provider and exogenous IT architecture. This intermediary collects data, analyzes performance, and coordinates with external systems, enabling reliable service delivery without direct control of the underlying infrastructure.
2Reliability
If comprehensive monitoring of exogenous architecture is implemented to improve reliability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional monitoring system that simultaneously performs multiple tasks: collecting sensor data, analyzing heuristic information, monitoring performance metrics, detecting anomalies, and generating alerts. This universal system consolidates what would otherwise require separate specialized systems, reducing overall complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent combines internal IT architecture monitoring with exogenous architecture monitoring into a unified monitoring framework. By merging data collection, analysis, and response mechanisms into a single integrated system, the patent reduces the complexity that would arise from managing separate monitoring systems for different architecture types.
3Measurement precision
If multiple data sources are integrated to improve risk analysis accuracy, then measurement precision is improved, but information processing complexity increases
Solution Approach 1:
The patent segments the integration of multiple data sources into distinct modules: sensor data collection, heuristic data acquisition, internal architecture monitoring, and exogenous architecture monitoring. Each module handles specific data types independently, then results are aggregated for comprehensive risk analysis. This segmentation reduces the complexity of processing all data sources simultaneously.
Solution Approach 2:
The patent introduces data integration intermediaries that act as adapters between different data sources and the central risk analysis system. These intermediaries standardize data formats, filter relevant information, and pre-process inputs, simplifying the integration process and reducing the complexity of handling diverse data sources with different formats and protocols.
Data Source
AI summary
A set of internal information technology (IT) architecture is received and the internal IT architecture is controlled by a service provider. A set of exogenous IT architecture is received and the exogenous IT architecture is not controlled by the service provider. A set of service level agreement (SLA) requirements, agreed upon by the service provider and a service user, are received. A set of sensor data, from sensors monitoring environmental conditions which may affect at least one of the internal IT architecture or the exogenous IT architecture, is received. A set of heuristic data relating to the internal IT architecture and the exogenous IT architecture is received. A risk metric based on the set of internal IT architecture, the set of exogenous IT architecture, the set of SLA requirements, the set of sensor data, and the set of heuristic data is determined.