Latency Analysis for Data Persistence Operations
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Solution Overview
Problem
High system latency in data persistence operations due to complex system environments and multiple factors involved, making it difficult to identify and improve latency issues effectively.
Innovation Solution
A method that uses a predictive model to estimate latencies based on system states and analyzes the contributions of individual states to latency, identifying major factors that increase latency and providing targeted directions for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data persistence operations are performed to synchronize memory to persistent storage, then data reliability is improved, but system latency increases
Solution Approach 1:
The system performs data persistence operations in advance by writing data to persistent storage before it is actually needed. The memory synchronization process proactively flushes data to disk, so when data is subsequently accessed, it is already available in persistent storage, eliminating the need for latency-inducing synchronization operations at the moment of data access.
2Measurement precision
If system state monitoring is performed for all metrics, then latency analysis precision is improved, but system complexity increases
Solution Approach 1:
The system extracts and monitors only the specific state metrics that have been identified as contributing to latency in data persistence operations. Rather than monitoring all possible system metrics, the solution selectively extracts the relevant ones (such as memory buffer states, I/O queue depths, and disk controller states) that directly impact latency, thereby reducing monitoring complexity while maintaining analysis precision.
Solution Approach 2:
The system divides the complex latency analysis problem into separate components by monitoring individual state metrics independently. Each metric is tracked and analyzed separately, allowing the system to identify which specific states contribute to latency without being overwhelmed by the complexity of analyzing all system metrics simultaneously as a unified whole.
Data Source
AI summary
Embodiments of the present disclosure relate to a method, a device, and a computer program product for processing a system latency. The method includes obtaining a group of records in a system for a group of data persistence operations of a particular type, and estimating a group of estimated latencies in the group of data persistence operations based on the group of records. Each record in the group of records includes a group of metrics for a group of states of the system within a predetermined period when each data persistence operation occurs. The method also includes determining corresponding contributions of each state in the group of states to latencies of the group of data persistence operations based on the group of records and the group of estimated latencies, and determining one or more states from the group of states based on the corresponding contributions. Embodiments of the present disclosure can identify, in a complex system environment, major factors that increase the latencies of data persistence operations and the degree of influence on the amount of latency by these factors, thereby providing a user with a targeted improvement direction.