Data Analysis On Bandwidth Stability And Packet Loss Rate Improvement Brought By Vietnam Cn2 Link

2026-05-08 14:31:17

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goals and preparation

clarify the goal before starting (compare the bandwidth stability and packet loss rate before and after vietnam's cn2 link). preparation: two test machines (one at domestic export or upstream, one at vietnam/cn2 entrance), linux environment, administrator rights, installation tools: iperf3, mtr, ping, traceroute, curl, jq (for json parsing), and the ability to log in remotely.

network environment confirmation and baseline collection plan

confirm the test time period (it is recommended to take at least 3 days each during working hours and non-peak hours, and sample by time period). set the sampling frequency: iperf3 once an hour (60 seconds, -t 60), ping 100 packets each time (interval 0.2), mtr 100 times periodic sampling each time, http download/multi-thread wget/curl speed test once an hour. record router and server bandwidth limitations and concurrent traffic.

deploy iperf3 server

execute on the vietnamese machine: sudo apt-get install iperf3; nohup iperf3 -s &>/dev/null 2&>&1 &. running on domestic machine: iperf3 -c -p 10 -t 60 -i 10 -r (-p number of concurrent streams, -r reverse test), plus --json output for subsequent analysis: iperf3 -c -p 10 -t 60 -j > test-iperf-$(date +%s).json.

ping and packet loss rate collection

use standard commands to collect packet loss and delay distribution: ping -c 100 -i 0.2 <target ip> > ping-$(date +%f-%h%m).log. example of extracting packet loss rate: cat ping-xxx.log | tail -n1 | awk -f',' '{print $3}'. batch scripts can be executed in a loop and written to csv.

mtr path and packet loss location

run mtr or traceroute to determine the link where packet loss occurs: mtr -r -c 100 <target ip> > mtr-$(date).log. focus on packet loss and latency hops where bandwidth changes (%loss column). record the ip of the intermediate router with high packet loss to facilitate communication with the operator.

bandwidth stability test at http/download level

build or use a static large file (200mb) http server in vietnam. in china, use curl -o /dev/null -s -w "%{speed_download}\n" http:// /file.bin test the speed multiple times and record the download speed. you can also use aria2 multi-threading to simulate real user concurrency.

logging and data centralization

unify iperf3 json, ping logs, mtr logs, and curl speed output to an analysis machine (via scp or rsync), and the file names include timestamps. create a directory structure classified by date/period to facilitate historical comparison.

data analysis and calculation of indicators

use jq to parse iperf3 json: cat file.json | jq '.end.sum_received.bits_per_second' to extract bandwidth and calculate the average, maximum, minimum and standard deviation of each group of tests (implemented by python/pandas or awk). the packet loss rate is extracted from the ping log and the average packet loss and 95th percentile delay are calculated.

visualization and comparison methods

import the processed csv into excel, grafana or use matplotlib to draw a graph, draw a time series graph (bandwidth, packet loss, delay) and mark the cn2 link activation time point. compare the average bandwidth, jitter, and packet loss rate reduction percentage during the same period before and after activation.

10.

sample analysis and statistical testing

to avoid accidental effects, use at least 7 days of data to do a t test or mann-whitney u test to verify whether the bandwidth average and packet loss rate are significantly improved. python example: use scipy.stats.ttest_ind(before_values, after_values, equal_var=false). if p-value < 0.05, the improvement can be considered significant.

11.

positioning and operator communication process

if it is found that a certain hop has high packet loss, sort out the mtr path, time period, and sample logs and submit them to cn2/vietnam peer operator. attached are the bidirectional test results of iperf3 and ping/traceroute so that they can troubleshoot at the mpls/pe level.

12.

continuous monitoring and alarm suggestions

deploy continuous monitoring after production goes online: use prometheus + blackbox_exporter to schedule ping/http, and incorporate iperf3 short tests into cron (for example, 4 times a day). set threshold alarm: when packet loss is >1% or bandwidth is lower than the threshold, the alarm will be triggered and detailed logs will be automatically collected and sent to sre.

13.

common misunderstandings and precautions

avoid only doing a single test to draw conclusions: concurrency, time period, and route fluctuations will all affect the results; ensure that there are no other large traffic tasks during the test period; use the -p parameter in iperf3 to avoid single-flow saturation and not reflect the overall link capability.

14.

q: how to judge whether the vietnam cn2 link really improves the packet loss rate?

answer: by comparing multi-day statistical data (average packet loss, 95th percentile delay, packet loss burst frequency) in the same time period before and after cn2 is enabled, and using statistical tests (such as t-test) to verify whether the changes are significant; at the same time, combined with mtr path positioning, it is confirmed that packet loss points are removed or decreased as cn2 routing changes.

15.

q: if i find that packet loss is high on a certain hop, how should i communicate with the operator?

answer: prepare: 1) mtr/traceroute log (including timestamp); 2) original files of ping and iperf3; 3) description of the time window and frequency of the problem. submit a work order and ask the other party to troubleshoot the corresponding pe/link and provide forwarding/packet loss logs. if necessary, ask for real-time packet capture (tcpdump).

16.

q: how can i automate these tests and preserve the results long-term?

answer: write a cron script to execute iperf3/ping/curl regularly, output json/csv and upload it to a centralized storage (such as s3 or internal nas); use prometheus to capture indicators and visualize them in grafana, set alarm rules and retain at least 30 days of original logs for retrospective analysis.

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