Cloud Reference Architecture Adaptation for Root Cause Analysis
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Solution Overview
Problem
Existing systems face difficulties in identifying the root cause of service incidents across integrated IT products and services, particularly in multi-hybrid cloud environments, leading to unplanned interruptions and reduced service quality, which are exacerbated by integration complexities and cyber threats.
Innovation Solution
A system and method for adapting reference architecture documents across clouds, involving loading, populating a knowledge repository, detecting service incidents, classifying them, creating a weighted graph, and traversing it to generate an adapted reference architecture, which includes predictive maintenance solutions and self-service orientation to prevent similar incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If reference architecture documents are used across multi-hybrid cloud services, then service integration and delivery are improved, but system complexity and difficulty in identifying root causes of incidents increase
Solution Approach 1:
The patent segments the complex multi-hybrid cloud system into a graph structure where nodes represent cloud services and edges represent integrations. This segmentation allows the system to break down complex incident analysis into manageable graph traversal operations, identifying root causes by examining relationships between individual services rather than analyzing the entire complex system at once.
Solution Approach 2:
The patent introduces an intermediary system that loads reference architecture documents, detects service incidents, and traverses the graph to identify root causes. This intermediary layer mediates between the complex cloud infrastructure and incident analysis, simplifying the process of identifying root causes by using the reference architecture as a guided framework for graph traversal.
2Measurement precision
If manual analysis of service incidents is performed, then accuracy in identifying root causes is maintained, but time consumption and response time increase
Solution Approach 1:
The patent implements a self-service system that automatically loads reference architecture documents, detects service incidents, traverses the service graph, and identifies root causes without requiring manual intervention. The system serves itself by using the reference architecture as a knowledge base to guide automated incident analysis, maintaining accuracy while dramatically reducing response time.
Solution Approach 2:
The patent replaces manual mechanical analysis with automated computational processes. Instead of manually analyzing service incidents against reference architecture documents, the system uses automated graph traversal algorithms and incident detection mechanisms that process data computationally, maintaining analytical accuracy while eliminating time-consuming manual operations.
3Adaptability or versatility
If reference architecture documents are updated frequently to reflect new services, then adaptability and service quality are improved, but document maintenance complexity and time increase
Solution Approach 1:
The patent transforms the static reference architecture document into a dynamic system that automatically adapts to new cloud services. The system loads reference architecture documents and uses graph traversal to automatically incorporate new services and integrations, allowing the reference architecture to evolve dynamically without requiring manual updates, thus improving adaptability while reducing maintenance complexity.
Data Source
AI summary
The illustrative embodiments provide for adaptation of reference architecture documents across clouds. An embodiment includes loading a reference architecture document. The embodiment also includes populating a knowledge repository corpus where the knowledge repository corpus includes data from information technology (IT) products, cloud services, and integrations stored with associated metadata about functionalities. The IT products, the cloud services, and the integrations are stored with metadata. The embodiment also includes classifying, using an incident analysis module, the service incidents based on the reference architecture document. The embodiment also includes detecting flaws in the reference architecture document based on the classified service incidents. The embodiment also includes creating a weighted graph of the cloud services. The embodiment also includes traversing the weighted graph and creating an adapted reference architecture based on the traversed weighted graph.