Unified Sign Detection for Cloud Infrastructure Failures
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Solution Overview
Problem
Existing methods for detecting system failures struggle to differentiate between setting errors in configuration information and errors caused by specific system situations, leading to incomplete detection of failures, especially when system loads exceed assumed normal levels.
Innovation Solution
A sign detection system that unifies the data format of configuration and log information, allowing for simultaneous analysis using a single algorithm, where log information is converted into a configuration format, and patterns are learned to identify failure types and set value errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate analysis methods are used for configuration information and log information, then detection coverage is improved, but device complexity and difficulty of detection increase
Solution Approach 1:
The patent combines configuration information and log information into a unified data structure with common formats and shared metadata fields. This merging allows a single analysis algorithm to process both types of information simultaneously, maintaining comprehensive detection coverage while reducing system complexity by eliminating the need for separate analysis pipelines.
Solution Approach 2:
The patent creates a universal data format that can represent both configuration information and log information using the same structure and fields. This multi-functional approach enables a single detection algorithm to handle multiple types of system information, reducing the need for specialized processing methods for each information type.
2Measurement precision
If traditional separate analysis methods are used, then existing detection capabilities are maintained, but measurement precision and detection accuracy worsen due to inability to differentiate error types
Solution Approach 1:
The patent segments failure detection into distinct categories by introducing specific fields in the unified data structure that identify whether an issue originates from configuration information or log information. This segmentation allows the detection algorithm to precisely identify error types and differentiate between setting errors and situation-induced errors, improving measurement precision without losing information.
3Ease of operation
If unified data format is implemented, then device complexity is reduced and ease of operation improves, but manufacturing precision and data conversion accuracy may worsen during format conversion
Solution Approach 1:
The patent performs preliminary actions by pre-defining a comprehensive unified data format structure that anticipates various information types. Configuration information and log information are transformed into this predetermined format using structured mapping rules, which preserves data accuracy during conversion while enabling easier subsequent processing and analysis operations.
Data Source
AI summary
A non-transitory computer-readable recording medium having stored therein a program for causing a computer to execute a process for detecting a sign, the process includes obtaining message information output from one or a plurality of information processing devices; obtaining configuration information in the one or the plurality of information processing devices; storing the obtained message information and the obtained configuration information in a common format; and outputting predetermined message information and predetermined configuration information according to comparison of a predetermined pattern described in the common format and the message information and the configuration information stored in the common format.