A process-based network traffic statistics method
CN116319460BActive Publication Date: 2025-09-09BEIJING ICHINAE SCI & TECH CO LTD
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Patent Information
- Application Number
- CN202211615393.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-15
- Publication Date
- 2025-09-09
- Estimated Expiration
- 2042-12-15
AI Technical Summary
Technical Problem
[0003]目前的网络流量统计分析方法,主要为粗粒度的流量分析,无法做到有效的颗粒度较细的流量分析,因此,在依靠流量进行问题定位时,无法精细定位到问题的发生原因,具有较大的使用局限性
Benefits of technology
[0027] ① Easy out-of-the-box use: Utilizing a compiled binary executable, it can be quickly and cost-effectively deployed in Linux x86 and ARM environments. ② Starting from the application layer, traffic is filtered based on process and service names, thereby better aligning with business objectives, reducing interference factors, and simplifying analysis. This effectively reduces the difficulty of observation in scenarios such as port negotiation, where there are numerous and dynamically changing ports.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention provides a process-based network traffic statistics method, comprising the following steps: a coroutine captures the front-end data packet from the packet queue, performs transport layer filtering, network layer filtering, and application layer filtering, calculates the effective data volume of the data packet, pushes the effective data volume value to a data channel, calculates the effective data volume value within the data channel, and continuously obtains the traffic value of the process. The method has the following advantages: 1. It is simple to use out of the box, using a compiled binary executable program, and can be used quickly and cheaply in Linux x86 and ARM environments; 2. Starting from the application layer, it filters traffic based on process and service names, thereby better aligning with business objectives, reducing interference factors, and reducing analysis difficulty. This method effectively reduces the difficulty of observation in scenarios such as port negotiation, where there are many ports and they change dynamically.
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