Actual Measurement Comparison Report On The Performance Difference Between Hong Kong Vps1g Upload Speed And Multi-line Computer Room

in order to ensure the credibility of the conclusion, this actual measurement comparison adopted multiple test lines and multiple repeated tests. the test environment includes a hong kong vps configured with 1gb memory (hereinafter referred to as the hong kong vps1g upload speed test host), and a multi-line comparison computer room located in the same computer room (hereinafter referred to as the multi-line computer room comparison computer). the test tool uses iperf3 (tcp/udp), speedtest-cli, curl to upload actual files and ping/traceroute for route tracing. each test was repeated 10 times at different time periods (peak/non-peak), and the median and 90th percentile values ​​were taken to reduce the impact of occasional fluctuations.

actual measurement results show that when a single hong kong 1g vps is directly connected to local hong kong or some operator nodes in mainland china, the average upload bandwidth can be close to the nominal uplink bandwidth peak. however, when it is transmitted cross-border to individual nodes in europe, america or southeast asia, the uplink throughput will decrease. taking the iperf3 tcp test as an example, the average upload rate of the local node in the hong kong computer room can reach a peak value of 80% to 95%; when going to the transfer node of the chinese mainland operator (unicom/telecom), the rate fluctuates greatly, averaging between 40% and 70%, accompanied by high jitter and segmented packet loss.

the comparison results show that the multi-line computer room has obvious advantages when accessing across network segments, mainly reflected in: first, the route selection is more flexible and can be forwarded through different upstream isps, thereby maintaining a relatively stable upload rate across multiple regions; second, the packet loss rate and the number of retransmissions are lower, especially in high concurrent upload scenarios, the multi-line computer room can disperse traffic to avoid single path congestion; third, the bandwidth guarantee during peak hours is better, because multi-line mutual backup reduces single link bottlenecks. however, in the local-to-local short-distance transmission scenario, the standalone hong kong vps1g still has advantages in price/performance ratio.

the reasons for the differences can be summarized into several categories: differences in routing and peering strategies, upstream bandwidth aggregation and quality, link depth from the computer room to the backbone network, and traffic shaping/peak limiting strategies. the upload speed of hong kong vps1g is limited by the upstream peering relationship of its carrier. if the peering between the carrier and the target isp is not good, cross-network segment upload performance will be affected. by accessing multiple upstreams (telecom/china unicom/china mobile and international backbones), multi-line computer rooms can switch to the optimal path when link quality differs, reducing latency and improving steady-state throughput.

another key point is packet loss and jitter: tcp will perform congestion control when packets are lost, resulting in a sudden drop in effective throughput; therefore, the impact of link stability on upload speed often exceeds the impact of bandwidth itself. in addition, time delay (rtt) has a significant impact on tcp window and upload efficiency. long-distance high-latency links will limit single-connection throughput unless multi-stream is used or tcp window scaling optimization is enabled.

the selection and optimization suggestions are as follows: if it is mainly for users in hong kong or nearby areas, has limited budget, and does not have high peak concurrency requirements, choose the lower-cost hong kong 1g vps and focus on network bandwidth evaluation. if you are facing users in multiple regions and require high availability and stable uploads, multi-line computer rooms are preferred. optimization techniques include: a) enable multi-thread/multi-connection upload (such as multi-connection upload or rsync -zp concurrent sharding) on the vps to avoid the impact of rtt on a single stream; b) adjust tcp parameters (increase send cache, enable window scaling) and use bbr congestion control; c) use cdn or transit nodes to distribute large traffic to exits closer to users; d) negotiate with the computer room or isp for better peering interconnection or purchase independent bandwidth on demand; e) test and select stable lines for multiple time periods, and use routing policy routing to avoid congested lines if necessary.