Detailed Explanation of Evaluation Methodology: How to Conduct the Malaysia CN2 Evaluation Project Scientifically

Introduction: Conducting CN2 evaluation projects in Malaysia requires a rigorous methodology to ensure that the results are reliable and reproducible. Guided by the theme of “An in-depth explanation of evaluation methodology on how to scientifically conduct Malaysia’s CN2 evaluation project,” this article systematically introduces the objectives, environment, metrics, and analysis process, facilitating their application in localized GEO optimization and SLA verification.

Evaluation Objectives and Scope

Defining the evaluation goals is the first step. The project should define the purpose of the evaluation: Performance baseline establishment, SLA compliance verification, or fault location. The scope should be limited to geographic nodes (Kuala Lumpur, Penang, etc.), the CN2 service paths from these exit points to China, and traffic types (TCP/UDP, service ports), to avoid resource waste caused by aimless wide-area sampling.

Testing Environment and Network Topology

When building a testing environment, it is necessary to distinguish between controlled nodes and production observation points. It is recommended to deploy probes or virtual machines at multiple Malaysian access points, and use a clear topology diagram to indicate the upstream ISP, exit points, and peer CN2 nodes. Tests need to take into account real-world factors such as multi-pathing, load balancing, and MPLS labels, to avoid ignoring topological complexity.

Testing Methods and Indicator Selection

Choose active and passive measurement methods wisely. Key metrics include one-way latency/round-trip latency, packet loss rate, bandwidth throughput, jitter, and number of path hops. Active testing uses throughput measurement tools and ICMP/TCP probes, while passive testing evaluates actual service performance through traffic sampling. Indicators need to be closely linked to business scenarios.

Data Collection and Tool Platform

A hybrid approach of open-source and commercial solutions should be adopted for data collection to ensure auditability and long-term availability. Common tools can be used for throughput, latency, and routing logging. The collection nodes must maintain clock synchronization to support one-way latency calculation. Log retention, metadata (test time, topology tags), and encrypted transmission are essential.

Sampling Frequency and Statistical Methods

Develop a reasonable sampling strategy to reflect time-varying characteristics. It is recommended to combine short-term high-frequency sampling with long-term sequential observations to cover peak and non-peak periods. The analysis uses quartiles (P50/P95/P99), confidence intervals, and significance tests to distinguish between random fluctuations and true degradation, while also normalizing outliers and missing samples.

Result Analysis and Visualization

The result presentation should support decision-making and positioning. Common representations include time series plots, CDF/CCDF, path heatmaps, and geographic maps. By combining route change records and BGP announcements, use relevant analysis to identify bottlenecks. The report should highlight reproducible conclusions and recommended actions to facilitate operational implementation and long-term optimization.

Summary and Recommendations: Carry out Malaysia CN2 Evaluation projects should be centered on clear objectives, a controllable environment, reasonable indicators, and rigorous statistics. It is recommended to first establish small-scale pilot projects to validate the method before expanding its scope ； Ensure time synchronization and metadata integrity ； Quartiles and visualization support SLA assessment and continuous optimization.