Optimization method for JVM garbage collection performance improvement

Abstract

The invention provides an optimization method for JVM garbage collection performance improvement, and the optimization method comprises the following steps: (1) starting a system, and preparing to start to monitor the garbage collection activity of a JVM; (2) collecting GC data, and capturing GC events and performance indexes; (3) carrying out comprehensive analysis on the collected GC data, and identifying and determining performance bottlenecks and possible performance risks; (4) displaying a result: displaying an analysis report on a user interface, so that a user can understand a current GC performance state; (5) the user decides whether optimization adjustment needs to be carried out or not according to the displayed result; and (6) adjusting and optimizing measures according to suggestions, and restarting the service to enter the next process. By capturing and analyzing the GC event in real time, a comprehensive performance data view and optimization suggestions are provided, so that the system stability and the response speed are remarkably improved. The user interface simplifies the monitoring and optimization process, reduces the maintenance cost, and improves the analysis and optimization efficiency.

Description

Technical Field

[0001] The present invention relates to the field of JVM garbage collection, and in particular to an optimization method for improving JVM garbage collection performance. Background Art

[0002] The Java Virtual Machine (JVM) is the runtime environment for executing Java bytecodes, and its performance is largely affected by the garbage collection (GC) mechanism. GC is responsible for automatically managing memory and reclaiming the space occupied by objects that are no longer in use to avoid memory leaks and fragmentation. Although GC ensures efficient use of memory, improper GC behavior may cause application response delays, affecting user experience and system performance.

[0003] At the same time, existing GC monitoring tools have shortcomings:

[0004] 1) Collecting data monitoring indicators cannot predict the long-term impact of GC behavior on system performance.

[0005] 2) Without combining actual scenario analysis, it is difficult to deeply identify and explain GC performance issues.

[0006] 3) The data provided is difficult to convert into actual optimization measures, and there is a lack of optimization guidance.

[0007] How to improve JVM GC performance through real-time monitoring, comprehensive data collection, in-depth analysis and providing practical optimization suggestions is an important issue in JVM garbage collection performance improvement and optimization. Summary of the invention

[0008] The present invention is to solve the following technical problems:

[0009] 1) The main indicator data monitoring of existing tools cannot reflect the performance impact of GC and cannot quickly respond to performance issues.

[0010] 2) Existing tools usually collect GC metrics without quantifying their interactions with other key metrics.

[0011] 3) Existing technologies only analyze GC data at the indicator level, without combining business scenarios to identify performance bottlenecks and root causes.

[0012] 4) No optimization suggestions are provided. The information users obtain from existing tools is not sufficient to guide them in effective GC optimization, and there is a lack of specific optimization suggestions and strategies.

[0013] And provide optimization methods to improve JVM garbage collection performance.

[0014] The present invention solves the above technical problems through the following technical solutions:

[0015] The present invention provides an optimization method for improving JVM garbage collection performance, the optimization method comprising the following steps:

[0016] (1) The system starts and is ready to monitor the JVM's garbage collection activities;

[0017] (2) GC data collection, to capture GC events and performance indicators;

[0018] (3) Comprehensively analyze the collected GC data to identify and determine performance bottlenecks and possible performance risks;

[0019] (4) Display results: Display analysis reports on the user interface so that users can understand the current GC performance status;

[0020] (5) The user decides whether optimization adjustment is needed based on the displayed results;

[0021] (6) Adjust and optimize measures based on the suggestions and restart the service to enter the next process.

[0022] In this technical solution, by capturing and analyzing GC events in real time, a comprehensive performance data view and optimization suggestions are provided, which significantly improves system stability and response speed. The user interface simplifies the monitoring and optimization process, reduces maintenance costs, and improves analysis and optimization efficiency.

[0023] Preferably, the system in step (1) is provided with a real-time monitoring module for real-time monitoring of JVM garbage collection activities to ensure that GC events can be captured and responded to immediately.

[0024] Preferably, when the system is started in step (1), the real-time monitoring module monitors the JVM garbage collection activity in real time after initialization.

[0025] In this technical solution, the real-time monitoring module realizes real-time monitoring of JVM garbage collection activities to ensure that GC events can be captured and responded to in real time.

[0026] Preferably, the GC data acquisition in step (2) is achieved by setting up a GC data collector, and the GC data collector is started and begins to run after the data collector is initialized.

[0027] In this technical solution, the GC data collector is used to capture GC events and performance indicators.

[0028] Preferably, the performance indicators captured in step (2) include but are not limited to GC type, duration, and memory usage.

[0029] Preferably, the data collected in step (2) is synchronized to a data processing center in real time via pushGateway.

[0030] In this technical solution, pushGateway is used to synchronize data to the data processing center in real time.

[0031] Preferably, the data processing center is provided with a data processor, and the received raw data is cleaned of invalid data and integrated with the data format through the data processor.

[0032] In this technical solution, the data processor cleans the original data to remove invalid data and integrates the data format.

[0033] Preferably, the processed data is stored in a storage module to facilitate subsequent analysis and calculation.

[0034] In this technical solution, storage is provided for the processed data by setting up storage to facilitate subsequent analysis and calculation.

[0035] Preferably, the cleaned data is subjected to aggregate calculation and in-depth analysis to achieve the comprehensive analysis in step (3).

[0036] In this technical solution, a deep analysis method is used to identify performance bottlenecks and generate specific optimization suggestions.

[0037] Preferably, in step (5), before presenting the results, a performance analysis report including key indicators and issues is generated based on the analysis results.

[0038] In this technical solution, a user monitoring interface is provided to display performance analysis reports, and users can intuitively monitor GC parameters and view real-time data.

[0039] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0040] The positive and progressive effects of the present invention are:

[0041] The above-mentioned optimization method for improving JVM garbage collection performance realizes real-time monitoring of JVM garbage collection activities, ensuring that GC events can be captured and responded to immediately; provides a comprehensive GC data collection module that can capture key performance indicators including but not limited to GC type, duration, memory usage, etc.; conducts comprehensive analysis on the collected GC data to identify performance bottlenecks and possible performance risks; analyzes the results based on usage scenario requirements and collected data, and provides GC parameter adjustment and optimization strategies; provides a user interface that enables users to monitor parameters, view real-time data, and analyze results; and provides a comprehensive performance data view and optimization suggestions by capturing and analyzing GC events in real time, thereby significantly improving system stability and response speed. The user interface simplifies the monitoring and optimization process, reduces maintenance costs, and improves analysis and optimization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The figure is a flow chart of the optimization method of the present invention. DETAILED DESCRIPTION

[0043] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0044] Embodiment 1

[0045] like Figure 1 As shown, an optimization method for improving JVM garbage collection performance includes the following steps:

[0046] (1) The system starts and is ready to monitor the JVM's garbage collection activities;

[0047] (2) GC data collection, to capture GC events and performance indicators;

[0048] (3) Comprehensively analyze the collected GC data to identify and determine performance bottlenecks and possible performance risks;

[0049] (4) Display results: Display analysis reports on the user interface so that users can understand the current GC performance status;

[0050] (5) The user decides whether optimization adjustment is needed based on the displayed results;

[0051] (6) Adjust and optimize measures based on the suggestions and restart the service to enter the next process.

[0052] The system in step (1) sets a real-time monitoring module for real-time monitoring of JVM garbage collection activities to ensure that GC events can be captured and responded to in real time.

[0053] The system is started in step (1), and the real-time monitoring module monitors the JVM garbage collection activity in real time after initialization.

[0054] In the step (2), GC data collection is achieved by setting up a GC data collector, which is started and begins to run after the data collector is initialized.

[0055] The performance indicators captured in step (2) include but are not limited to GC type, duration, and memory usage.

[0056] The data collected in step (2) is synchronized to the data processing center in real time via pushGateway.

[0057] The data processing center is provided with a data processor, which cleans invalid data from the received raw data and integrates the data format for processing.

[0058] The processed data is stored in a storage module for subsequent analysis and calculation.

[0059] The cleaned data is aggregated and deeply analyzed to achieve the comprehensive analysis in step (3).

[0060] In the step (5), before presenting the results, a performance analysis report including key indicators and issues is generated based on the analysis results.

[0061] In the above embodiment, a deep analysis method is used to identify performance bottlenecks, generate specific optimization suggestions, and provide a user monitoring interface so that users can intuitively monitor GC parameters and view real-time data while ensuring data security and privacy.

[0062] The present invention is not limited to the above-mentioned embodiments. Any changes in shape or structure are within the protection scope of the present invention. The protection scope of the present invention is defined by the attached claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principle and essence of the present invention, but these changes and modifications are within the protection scope of the present invention.

Claims

1. An optimization method for improving JVM garbage collection performance, characterized in that: The optimization method comprises the following steps: (1) The system starts and is ready to monitor the JVM's garbage collection activities; (2) GC data collection, to capture GC events and performance indicators; (3) Comprehensively analyze the collected GC data to identify and determine performance bottlenecks and possible performance risks; (4) Display results: Display analysis reports on the user interface so that users can understand the current GC performance status; (5) The user decides whether optimization adjustment is needed based on the displayed results; (6) Adjust and optimize measures based on the suggestions and restart the service to enter the next process.

2. The optimization method for improving JVM garbage collection performance as claimed in claim 1, characterized in that: The system in step (1) sets a real-time monitoring module for real-time monitoring of JVM garbage collection activities to ensure that GC events can be captured and responded to in real time.

3. The optimization method for improving JVM garbage collection performance as claimed in claim 2, characterized in that: The system is started in step (1), and the real-time monitoring module monitors the JVM garbage collection activity in real time after initialization.

4. The optimization method for improving JVM garbage collection performance as claimed in claim 1, characterized in that: In the step (2), GC data collection is achieved by setting up a GC data collector, which is started and begins to run after the data collector is initialized.

5. The optimization method for improving JVM garbage collection performance as claimed in claim 1, characterized in that: The performance indicators captured in step (2) include but are not limited to GC type, duration, and memory usage.

6. The optimization method for improving JVM garbage collection performance as claimed in claim 1, characterized in that: The data collected in step (2) is synchronized to the data processing center in real time via pushGateway.

7. The optimization method for improving JVM garbage collection performance as claimed in claim 6, characterized in that: The data processing center is provided with a data processor, which cleans invalid data from the received raw data and integrates the data format for processing.

8. The optimization method for improving JVM garbage collection performance as claimed in claim 7, characterized in that: The processed data is stored in a storage module for subsequent analysis and calculation.

9. The optimization method for improving JVM garbage collection performance as claimed in claim 7, characterized in that: The cleaned data is aggregated and deeply analyzed to achieve the comprehensive analysis in step (3).

10. The optimization method for improving JVM garbage collection performance according to claim 1, characterized in that: In the step (5), before presenting the results, a performance analysis report including key indicators and issues is generated based on the analysis results.

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