Dispersed Storage Network Event Records for Failure Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Prior art data storage systems lack effective means to analyze system operations and determine the source and cause of component failures, making it difficult to diagnose and address issues in a timely and acceptable manner.
Innovation Solution
A dispersed storage network (DSN) with error encoding and decoding capabilities, utilizing a managing unit and integrity processing unit to manage and rebuild encoded data slices, and generate event records for system analysis, allowing for the identification of failures and system performance monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art data storage systems are used, then data storage is provided, but the ability to analyze system operations and determine failure sources is insufficient
Solution Approach 1:
The patent segments system operations into discrete event records with unique identifiers, allowing individual tracking of each operation. Event records are divided into specific components including event ID, parent event ID, timestamp, and detailed parameters, enabling granular analysis of system operations and failure sources without requiring complex overall monitoring.
Solution Approach 2:
The patent introduces event records as intermediary objects that mediate between system operations and analysis. These records serve as a structured intermediate layer that captures operation details, timestamps, and parameters, allowing analysis systems to query and correlate events without directly accessing complex underlying system operations.
2Reliability
If dispersed storage with error encoding is implemented, then fault tolerance and data security are improved, but system operation analysis capability is reduced
Solution Approach 1:
The patent implements feedback mechanisms where event records are generated for each operation in the dispersed storage system, including encoding and decoding operations. These records provide feedback about system state and operations, enabling analysis of fault tolerance mechanisms and error handling without increasing the difficulty of detection and measurement.
Solution Approach 2:
The patent changes the parameter representation by using standardized event record structures with consistent fields (event ID, timestamp, parameters). This standardization transforms complex dispersed storage operations into uniform, analyzable parameters, making it easier to detect and measure system operations despite the underlying complexity of error encoding and decoding.
Data Source
AI summary
A computing device includes an interface configured to interface and communicate with a dispersed storage network (DSN), a memory that stores operational instructions, and a processing module operably coupled to the interface and memory such that the processing module, when operable within the computing device based on the operational instructions, is configured to perform various operations. The computing device detects a state change within the DSN based on at least one signal received via an interface. The computing device obtains a state descriptor, a timestamp, and state parameters. The computing device then generates a log record entry based on aggregation of the state change, the state descriptor, the timestamp, and/or the state parameters. The computing device then facilitates storage of the log record entry within event memory of the DSN.