ccperf.net

What It Is

ccperf is an evaluation and benchmarking framework for research into congestion control algorithms in communication networks. It is not a general-purpose application performance testing tool; instead, it focuses on transport-layer congestion control algorithms and supports systematic experiments under different network conditions and traffic loads, helping avoid “cherry-picked” evaluations based on only a few favorable scenarios.

Core Capabilities

Based on the main content, ccperf consists of a frontend, a collection of experiments, metrics, and visualized results. The frontend code is responsible for running, saving, and post-processing experiments; each experiment sets specific network conditions and traffic workloads. The framework covers scenarios such as steady-state single-flow performance, fairness, RTT fairness, step/pulse response, network changes, scalability, loss resilience, deep/shallow buffers, AQM, ECN, ACK compression, traffic policing, dynamic networks, random walks, and Reno/Cubic/Vegas friendliness. For metrics, the text gives data rate as an example and notes that metrics generated during simulation are saved as database files, then post-processed into charts displayed on the web page.

Tech Stack and Ecosystem

ccperf requires a simulation or emulation platform as its backend. The main text explicitly supports ns-3, with experiments run via discrete-event simulation in the ns-3 ccperf backend. The page also provides GitLab links for the ccperf frontend and ccperf ns-3 backend, indicating that the code is available. However, no license is clearly stated, so its open-source licensing model cannot be determined directly. Information about APIs, SDKs, plugins, or a broader ecosystem is not mentioned in the main content.

Pricing and Ease of Use

The page does not provide commercial pricing, paid plans, or payment method information. In terms of usability, its site structure includes sections such as Overview, Experiments, Benchmarks, Metrics, Topologies, Traffic, and Results, and the research framework is clearly organized. However, the captured content does not show installation commands, runnable examples, or configuration guides. Researchers familiar with ns-3 and network simulation should find it relatively easy to understand, while ordinary developers may face a learning curve.

Pros, Cons, and Best-Fit Users

Its strengths are a broad set of evaluation dimensions, a clear research objective, and scenario design informed by a survey paper in IEEE Communications Surveys & Tutorials, making it suitable for systematic and reproducible comparisons of congestion control algorithms. Its weaknesses are limited disclosure: the maintainer, license, version status, support model, and deployment details are all unclear. It is also not a replacement for APM, load testing, or production network monitoring tools. ccperf is best suited to universities, laboratories, network protocol R&D teams, and engineering researchers who need to evaluate TCP or transport-layer congestion control algorithms.

Access from China

Based on the main content, the actual access stability of ccperf.net and the GitLab links from mainland China cannot be determined, so it is marked as unknown. If access to GitLab or external paper resources is unstable, users may need to prepare mirrors, proxies, or alternative toolchains such as native ns-3 experiments, Mininet, Mahimahi, or Pantheon.