Cluster Log Timestamp Synchronization via Optimized Reference Table
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Solution Overview
Problem
In clustered computing environments, log files from different nodes often lack time-synchronization due to differing clock data, leading to issues during debugging and analysis.
Innovation Solution
A method involving compiling log data from all nodes, retrieving a timestamp table, optimizing it by selecting a reference node and creating an optimized timestamp table, and adjusting the log data using this table to synchronize timestamps across nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If log data is compiled from all nodes without timestamp optimization, then the debugging process can be initiated, but the debugging efficiency is reduced due to time desynchronization issues
Solution Approach 1:
The patent applies preliminary action by pre-optimizing the timestamp table before log data processing. The system retrieves and optimizes the timestamp table in advance, establishing reference timestamps and calculating time offsets between nodes beforehand. This preliminary preparation eliminates the need for time synchronization calculations during actual log debugging, thereby improving debugging efficiency while reducing processing time.
2Measurement precision
If timestamp table optimization is performed, then timestamp synchronization accuracy is improved, but additional processing steps are required
Solution Approach 1:
The patent applies self-service by implementing automatic timestamp table optimization without requiring manual intervention. The system automatically retrieves the timestamp table, identifies reference timestamps, calculates time offsets between nodes, and adjusts log timestamps programmatically. This automation maintains high timestamp synchronization accuracy while minimizing the perceived complexity for users, as the optimization process occurs transparently in the background.
Data Source
AI summary
A computer-implemented method according to one embodiment includes compiling log data from all nodes of a cluster, retrieving a timestamp table stored within the cluster, optimizing the timestamp table, and adjusting the log data from all the nodes of a cluster, utilizing the timestamp table.