Topology Graph for Network Failure Identification
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Solution Overview
Problem
Conventional techniques fail to integrate hardware infrastructure and software services information effectively in cloud networks, leading to delays and unsynchronized states that hinder the identification of failure sources, causing unavailable services and unreachable nodes.
Innovation Solution
A computer-implemented method and system that receive and associate hardware infrastructure information with software services information to generate a topology graph, which consolidates relationships between hardware units and software components, enabling the identification of failure sources by computing effective software service status information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional techniques are used to collect topology information and service information separately, then information collection is simple, but the information remains unsynchronized and unreliable for identifying failure sources
Solution Approach 1:
The patent merges topology information and service information into a unified data structure that associates hardware infrastructure components with software services. This integration allows synchronized access to both types of information through a single query mechanism, eliminating the reliability issues caused by separate information collection while managing complexity through a structured association model.
Solution Approach 2:
The patent introduces an intermediary component that acts as a bridge between topology information and service information. This intermediary maintains associations between hardware components and services, enabling synchronized information retrieval without requiring direct integration of all system components, thus improving reliability while controlling complexity.
2Reliability
If information is retrieved with delays, then data collection is faster, but unsynchronized states occur leading to unavailable services and unreachable nodes
Solution Approach 1:
The patent performs preliminary actions by pre-establishing associations between topology information and service information. This allows the system to quickly retrieve synchronized data without requiring real-time coordination during information gathering, thus maintaining synchronization while reducing retrieval time.
Solution Approach 2:
The patent implements continuous information synchronization by maintaining persistent associations between hardware components and services. This continuous state tracking ensures that information remains synchronized without requiring repeated full data collection cycles, thereby reducing time loss while maintaining reliability.
3Difficulty of detecting and measuring
If exhaustive information about network infrastructure and services is collected, then complete failure analysis is possible, but the complexity of synthesizing and accessing information increases
Solution Approach 1:
The patent segments exhaustive information into organized categories (topology information and service information) with defined associations between them. This segmentation allows complete failure analysis capability while reducing synthesis complexity by providing a structured framework for information organization and access.
Data Source
AI summary
A computer-implemented method for identifying a source of a failure in a network is provided. The method includes receiving hardware infrastructure information of the network, wherein the network includes a plurality of hardware infrastructure units, and receiving software services information of the network. The method also includes associating the hardware infrastructure information with the software services information, and generating a graph based on the association of the hardware infrastructure information and the software services information.