Topology-Based Bottleneck Detection in Distributed Database Systems
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Solution Overview
Problem
Manual collection and analysis of performance data in distributed database management systems are labor-intensive, error-prone, and fail to accurately account for system-level issues arising from interactions between multiple databases, making it challenging to diagnose performance problems in real-time distributed systems.
Innovation Solution
A computer program that parses the network in a distributed database system to identify paths between source and destination databases, collects statistics at regular intervals, and analyzes these statistics to automatically detect bottlenecks, thereby enabling automated topology-based monitoring and performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual collection and analysis of performance data is used, then users can query and review statistics from individual databases, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system performs automated topology-based monitoring and analysis without requiring manual user intervention. The computer automatically parses the network, identifies paths between source and destination databases, collects statistics at regular intervals, and analyzes performance data to detect bottlenecks, eliminating the need for manual data collection and analysis operations
Solution Approach 2:
The patent replaces manual mechanical data collection processes with automated computer-based systems. The computer automatically queries databases, traverses network paths, aggregates statistics, and performs analysis algorithms to identify performance bottlenecks, substituting human manual operations with automated computational processes
2Measurement precision
If manual analysis of single-database statistics is performed, then users can identify performance issues in individual databases, but the analysis fails to account for system-level issues arising from interactions between multiple databases
Solution Approach 1:
The system segments the distributed database network into distinct paths between source and destination databases. By parsing the network topology and identifying individual paths, the system can analyze statistics along each path separately while also understanding system-level interactions, enabling both detailed path-level measurement and comprehensive system-level analysis
Solution Approach 2:
The patent transitions from analyzing single-database statistics to multi-dimensional analysis that includes path-level, system-level, and interaction-level dimensions. The system collects statistics across multiple paths and aggregates them to provide holistic views of system performance, adding the dimension of network topology and inter-database interactions to traditional single-database performance monitoring
3Productivity
If automated statistics collection across multiple databases is implemented, then productivity is improved, but the device complexity increases
Solution Approach 1:
The computer system performs multiple functions through a unified automated monitoring framework. It parses network topology, identifies paths, collects statistics from multiple databases, aggregates data across paths, and analyzes performance to detect bottlenecks. This multi-functional approach consolidates what would otherwise require multiple separate tools and manual processes into a single integrated system
Solution Approach 2:
The system introduces an intermediary automated monitoring layer between the distributed databases and the user. This intermediary component handles the complexity of topology parsing, path identification, statistics collection, and analysis, shielding users from the underlying system complexity while providing simplified performance insights and bottleneck detection
Data Source
AI summary
A computer is programmed to parse a network that interconnects databases in a distributed database system, into a number of paths, wherein each path starts in a source database that is a source of changes and ends in a destination database that uses the changes to replicate the source database. The computer identifies databases that occur within each path in the network, and queries the identified databases to obtain statistics for each path. Statistics along each path are analyzed automatically, to identify a component in each path as a candidate for further investigation. The identified component may be marked as a bottleneck e.g. if there are no other paths connected to it. Alternatively the identified component may be a source of changes for another path that has a bottleneck or that has another candidate for further investigation. The identified bottleneck is displayed to the user with recommendations for improvement.