Study and Optimization of Server Load Capacity in High Concurrency Scenarios
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Jun 13, 2025
About this article
Published Online: Jun 13, 2025
Page range: 62 - 81
DOI: https://doi.org/10.2478/ijanmc-2025-0006
Keywords
© 2025 Hui Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Table type styles
| Variable | Test range |
|---|---|
| Number of Sub-Reactors | 1-50 |
| Number of threads | 1-50 |
Explanation of Webbench Usage Options
| Webbench Usage Parameters | Parameter explanation |
|---|---|
| ./webbench | Starts the Webbench testing tool. |
| -c | Specify the number of concurrent clients |
| -t | Specify the duration of HTTP requests |
| accesses the specified web server |
Scope of Testing for Single Reactor Multithreading Web Server
| Variable | Test Range |
|---|---|
| Number of threads | 1-30 |
| Transaction processing time (us) | 0-1000 |
Scope of Testing for Single Reactor Multi
| Model | Advantages | Disadvantages |
|---|---|---|
| Single-Reactor Single Threading | Simple to implement, easy to program and debug; suitable for low concurrency and lightweight business processing scenarios | Poor performance in high concurrency and long time business processing, easy to single thread blocking caused by other requests are delayed processing |
| Single-Reactor Multi-Threading | The introduction of a thread pooling mechanism serves to enhance the concurrent processing capacity, circumventing the issue of single-thread blocking. This approach is particularly effective in scenarios involving medium concurrency and medium business processing times, offering optimal performance. | The use of multiple threads in a single program can lead to data contention and synchronization problems, necessitating the implementation of locking mechanisms. This, in turn, can result in increased programming complexity and resource overhead. Furthermore, the overhead associated with thread switching may contribute to performance bottlenecks in highly concurrent environments. |
| Multi-Reactor Multi-Threading | The concurrent processing capability is significantly enhanced by dividing the work among multiple reactors. Each reactor operates independently, reducing competition for resources and improving overall performance. It demonstrates robust performance in high concurrency and longterm business processing. | The complexity of the programming and maintenance processes, coupled with the necessity of dealing with multiple reactor and thread synchronization, gives rise to a considerable challenge in terms of resource management. In order to circumvent performance bottlenecks, it is essential to configure the reactor and thread pool in a reasonable manner. |
Multi-Reactor Multi-threading Test Scope under 200us
| Variable | Test range |
|---|---|
| Operational processing time (us) | 0-1000 |