Protocols and Routes
Technical Guide

FOUNDATION

Separate protocols, transport, and routes first

Protocols define how data is packaged

The Shadowsocks, VMess, Trojan, VLESS, Hysteria2, and TUIC options shown in a client are, first and foremost, communication rules or implementations built around them. They define how the client and server authenticate, organize data, reuse connections, and process traffic before handing it to the underlying network. A protocol affects connection setup, encryption and authentication overhead, packet-loss behavior, client compatibility, and background activity. It cannot shorten physical distance or replace a high-quality network path.

Transport sits between the protocol and the network. Common implementations hand data to a reliable byte stream, datagrams, or a transport layer with additional session management. Reliable byte streams deliver data in order; lost data must be recovered before the upper layer can continue. Datagrams emphasize independent delivery, allowing the application or upper-layer protocol to decide what needs retransmission. Neither approach is universally better. Web pages, downloads, and APIs that require complete responses usually prioritize reliable delivery, while real-time voice, interactive actions, and rapidly changing media streams prioritize low waiting time.

Routes determine where data actually travels

A route combines the entry point, exit point, and intermediate network path. Even when two routes use the same protocol, differences in carrier interconnection, entry location, regional backbone, and exit location can produce very different latency, jitter, and peak-hour congestion. Conversely, if the bottleneck remains in a congested access network or remote exit, changing protocols can alter only local behavior and cannot remove the path’s inherent limits.

Protocol and route should therefore be evaluated as separate dimensions. The protocol answers “how is data carried?”; the route answers “where does it travel?” Options such as “automatic,” “smart,” or “recommended” are usually entry points into selection logic, not permanently optimal combinations. Home broadband, office networks, public Wi-Fi, and mobile networks handle queues, sleep states, and datagrams differently. Automatic selection is only a starting point and still needs validation in the actual environment.

Use a repeatable decision order

When troubleshooting, first determine whether the issue concerns connection setup, sustained transfer, or the target service’s response. If setup fails, check the client state, whether the subscription is current, system time, and protocol compatibility. If connected but the first page load is slow, examine name resolution, time to the first packet, and the target region. If a download gradually slows, path congestion, window reduction, or remote throttling is more likely. If voice breaks up while downloads are fine, focus on jitter, datagrams, and queueing.

Next, keep the device and access network fixed and switch only between routes in the same region. A clear difference points more strongly to the path. If several routes in one region perform similarly, keep the route fixed and switch protocols. Only when connection speed, battery life, or interactive latency changes with the protocol is the protocol implementation likely the main variable. Finally, test another access network. This cautious order avoids conclusions that cannot be reproduced after changing several conditions at once.

QSVPN offers 100+ countries / 180+ routes and supports Windows / macOS / iOS / Android / Linux. Coverage provides more path choices; it does not mean the farthest exit is always preferable. In most cases, start with an entry point closer in geography and network path, then adjust the exit to match the target service’s region. This is more effective than chasing a protocol name.

STREAM-ORIENTED

Shadowsocks vs. VMess: key trade-offs

Shadowsocks: simple structure, implementation matters

Shadowsocks follows a relatively direct model: the client sends application traffic to a local proxy, encrypts and encapsulates it, forwards it to the server, and lets the server connect to the destination. Its simple structure generally requires less state management, helping clients stay lightweight on desktop and mobile. For web browsing, document sync, code repositories, and ordinary media transfers, mature implementations often behave consistently and predictably.

Simple does not mean without limits. Shadowsocks performance depends heavily on the cipher suite, datagram support, name-resolution path, and how the client takes over the system proxy. If only a browser proxy is enabled, command-line tools, desktop apps, and system services may not use the same path. Global mode or a virtual network interface offers broader coverage, but system forwarding, routing tables, and sleep recovery add state. First identify which apps need proxy access, then choose an app-level proxy or system-wide takeover.

On mobile, a lightweight Shadowsocks implementation can reduce continuous computation, but battery impact is often determined less by one encryption operation than by whether the connection can sleep quietly. Repeated polling, frequent reconnects, or switching between Wi-Fi and mobile data increases wake-ups. A stable single path, sensible on-demand connections, and less background probing matter more than comparing protocol labels.

VMess: richer state, tighter configuration coordination

VMess generally includes more explicit identity information and session handling, and can combine with different underlying transports. Its advantage is not that it is inherently faster, but that it expresses connection parameters more flexibly in environments where the client and server manage them together. The trade-off is greater interaction between settings. An incorrect device clock, mismatched identity fields, an unaligned transport, or an unrefreshed subscription may appear as a failed connection rather than slow performance.

With VMess, verify protocol availability and route availability separately. If other protocols in the same subscription connect but VMess does not, refresh the subscription, check the device clock, and reload the client configuration. If every protocol fails on one route, that route may be temporarily unreachable or the local access network may have changed. Repeatedly tapping Connect only repeats the same state; it does not repair configuration mismatches.

VMess resource use also depends on how the client implements connection reuse and system takeover. Desktop devices usually have enough scheduling capacity and memory that the added state is minor. On mobile devices running in the background, check whether the client remains active during idle periods, repeatedly rebuilds sessions after network changes, and returns to a reasonable sleep state with the screen off. If battery life matters more than extensibility, compare simpler implementations instead of focusing only on feature lists.

The choice between them does not need to be permanent. For ordinary desktop use, start with a clearly structured combination with mature client support. If the current route specifies a particular protocol, follow the subscription-provided settings instead of manually mixing incompatible fields. When long-lived connections drop, compare performance on the same route before changing protocols. For persistent developer-tool connections, see Cursor/Copilot network selection and troubleshooting.

MODULAR DESIGN

How to choose between Trojan and VLESS

Trojan: rely on a mature transport layer

Trojan typically runs on reliable transport and an encrypted session, so authentication and data transfer depend on the underlying connection being established successfully. Its behavior can share mature system capabilities used by ordinary encrypted network requests, including congestion control, certificate validation, and connection management. For web pages, files, code pulls, and long-lived connections requiring ordered delivery, this combination provides clear troubleshooting boundaries.

Clear boundaries make layered troubleshooting possible. If DNS resolution fails, protocol authentication has not started. If the underlying handshake fails, check the device clock, destination address, and network reachability. If authentication fails after the handshake, inspect subscription fields or server status. If the connection succeeds but the app does not respond, check system proxy scope, name resolution, and the route exit. Calling every issue a “slow node” hides the real failure point.

Reliable transport preserves order, but on a lossy path, waiting for missing data can amplify pauses. Downloads can usually recover through retransmission, while interactive apps may feel briefly frozen. Trojan being a better fit does not mean it is faster on every weak connection; its reliability semantics suit workloads that require complete data. When jitter is pronounced, compare path quality as well instead of masking packet loss with more concurrency.

VLESS: lightweight core, capabilities through composition

VLESS is best understood as a lightweight identity and forwarding framework; much of its practical behavior comes from the underlying transport, security layer, and client routing. It removes some redundant processing, but “lightweight” does not mean configuration can be omitted. The server’s transport, client-side connection verification, multiplexing, and name-resolution path all shape the result. Treat VLESS as the entry point to a combination, not as a complete performance verdict.

This modular design suits environments that need scenario-specific combinations. On desktop, a system-level virtual interface can take over apps consistently, or a local proxy can be exposed only to browsers and developer tools. On mobile, on-demand connections can reduce unnecessary background activity. Routing rules can keep local resources direct while sending selected apps through the service route. Each additional rule raises troubleshooting cost, so stable configurations should remain explainable rather than stacking every available option.

When VLESS fails to connect, first confirm that the subscription was fully provided by the server. Do not manually copy transport fields from another node. The same protocol name does not make underlying parameters interchangeable. If the connection succeeds but a particular app cannot connect, check whether it bypasses the system proxy, whether name resolution follows the expected path, and whether the virtual interface has system permission. After a mobile device wakes from sleep, distinguish a system-paused background network from a protocol reconnection failure.

Do not treat the number of modules as a performance metric

The main difference between Trojan and VLESS is how responsibilities are divided. Common Trojan combinations rely more on mature encrypted transport to form a complete session, while VLESS leaves more capability to the outer layers. The former is easier to troubleshoot by handshake stage; the latter is easier to tailor to client and route requirements. Both can run well on high-quality routes, and both can be affected by congestion, distance, and exit quality.

For sustained downloads, browser access, and reliable API calls, start with a combination that has mature client support and clear connection states. If you need detailed app routing or flexible system-takeover modes, VLESS is more adaptable, but keep the rules simple. When devices switch networks frequently, focus on recovery speed and the subscription client’s implementation rather than judging long-term behavior from one successful connection.

For comparison, use the same device, access network, and nearby-region routes. Record whether setup succeeds, sleep recovery is stable, long-lived connections persist, and the target app fully enters the proxy path. Once one combination is stable in the current environment, there is no need to switch repeatedly for the sake of its protocol name. The goal is to reduce variables, not make the configuration more complex.

DATAGRAM TRANSPORT

Hysteria2 and TUIC for unstable networks

Why datagram-based designs focus on waiting time

Hysteria2 and TUIC both emphasize modern datagram-based transport. Compared with traditional reliable byte streams, these designs can handle multiplexed data, packet-loss recovery, and connection migration more flexibly at the protocol layer. They do not require every logical stream to share one strict waiting queue, so other streams may continue when one loses data. For interactive actions, voice, real-time content, and concurrent requests, this can reduce the feeling that one missing piece holds everything back.

Datagrams are not a speed switch. If the local network restricts them, routing equipment handles long-lived datagram sessions poorly, or the route exit is congested, the protocol can still suffer connection failures, jitter, and lower throughput. Datagram designs require the client, server, and intermediate network to support the expected behavior. Some office or public Wi-Fi networks apply stricter queueing and session handling to datagrams; reliable transport may work more consistently there.

Hysteria2: make active use of available bandwidth

One focus of Hysteria2 is maintaining more active sending and recovery on paths with latency or packet loss. It suits workloads with clear throughput needs on less-than-perfect paths, such as large-file transfers, media buffering, and cross-region sync. Active sending still has to respect the local access link. If other devices already saturate the connection, sending more can lengthen router queues and delay first-page loads, voice, and interactive actions.

Watch more than peak speed: foreground responsiveness must remain stable. If other apps slow noticeably after a large task starts, the issue may be a local queue rather than the remote route. If responsiveness returns immediately when the task pauses, reduce parallel work or choose a gentler transport combination. If every task keeps fluctuating, test another route or access network. A protocol can adjust congestion behavior, but it cannot create capacity at an already saturated local exit.

On mobile, sustained high throughput keeps the wireless radio and processor active, which may use more battery than intermittent browsing. The better measure is total activity time: finishing quickly and sleeping normally may consume less than a slow transfer that stays active. Conversely, frequent probing and reconnecting can increase wake-ups even with little traffic. Check foreground and background phases in system battery statistics instead of comparing only whether the connection icon remains visible.

TUIC: multiplexing and mobile recovery

TUIC also uses datagram transport and typically emphasizes multiplexing, shorter head-of-line waits, and session handling as networks change. For devices that frequently switch between Wi-Fi and mobile data, whether the specific client correctly implements connection migration is critical. Protocol capability alone does not mean the operating system will let an app remain seamlessly active in the background; power policies, network permissions, and client lifecycle all affect the result.

If an app shows connected but requests stall after a network switch, disconnect and reconnect first to determine whether stale path state remains. If reconnection immediately restores service, migration or system network switching is more likely. If it still fails, check whether the new access network supports the current datagram path. Do not reinstall the client, switch several nodes, and modify system routing at the same time, or you will not know what restored the connection.

TUIC suits concurrent requests, interactive responses, and mobile network changes, but reliable transport should remain available as a compatibility path. Office, hotel, and tightly managed public networks vary widely; keeping another protocol makes datagram compatibility issues easier to isolate. If reliable transport works while both datagram options fail, examine the access network first. If every protocol fails, check the subscription, system time, and route status.

Datagram designs and traditional reliable transport should be treated as complementary tools. An unstable network is not always one with high packet loss; it may involve jitter, queue buildup, signal changes, or insufficient upstream capacity. Identify the specific form of instability before choosing Hysteria2, TUIC, or reliable transport. A brief speed test cannot cover sleep recovery or sustained connections, so real-world evaluation should include foreground use, background idle, and network switching.

CLIENT BEHAVIOR

Connection setup, resource use, and mobile battery life

Connection setup is more than a handshake

After you tap Connect, the client typically reads the subscription, resolves the node address, performs name resolution, establishes the underlying connection, authenticates, configures a local proxy or virtual interface, and moves system routing into the expected state. The app’s first request may also trigger new name resolution and an exit connection to the target service. A button changing quickly to “Connected” only means the local state machine reached one step; it does not confirm every app path.

To assess whether setup is working normally, check in order whether the client reports a clear error, whether a browser can open an ordinary page, whether the target app uses the proxy, and whether service recovers after a network change. If the client says connected but every request fails, inspect the system proxy, virtual-interface permission, and name resolution. If ordinary pages work but one app fails, check its independent proxy settings, cached connections, or whether the target service requires a specific region.

Connection setup speed reflects name resolution, the local network’s first packet, distance to the remote entry, transport handshakes, and authentication. Fewer protocol steps do not guarantee faster overall setup; slow address resolution or a jittery first packet can outweigh any processing savings. Compare under the same network, a similar region, and the same client state, and do not mix the first configuration load with later connections.

Processor, memory, and network wake-ups

Protocol encryption uses the processor, but real resource use on modern devices also includes virtual-interface forwarding, rule matching, name resolution, connection reuse, and log writes. More rules, fragmented app traffic, and frequent concurrent connections create more events for the client to process. Desktop users usually care about long-term stability and memory growth; mobile users care more about network wake-ups, background activity, and whether the system repeatedly terminates the client.

When investigating resource use, do not focus only on instantaneous CPU usage. Compare idle, light browsing, sustained transfer, and post-switch states. If network activity continues while idle, check frequent probing, subscription updates, or app-level sync. If usage rises only during a large transfer, normal forwarding is the likely cause. If it does not fall after the task ends, reconnect and check for sessions that were not released.

Log level also affects resources and storage. For daily use, retain only necessary errors; detailed debugging is for short investigations, not permanent use. These logs are client diagnostics, not the service’s access-record policy. QSVPN follows a no-logs service policy. Whether the local client stores diagnostic information is controlled by its settings and the operating system; check for local paths or app names before sharing troubleshooting data.

Mobile battery life depends on the full lifecycle

A mobile wireless radio consumes power when moving from sleep to active, and frequent small requests can make sleep harder than completing a task in one burst. Stable connection reuse and fewer reconnects may reduce wake-ups, but overly frequent keepalives can keep the background active. Power-saving modes may pause the client and trigger a new handshake on recovery. Battery life is therefore the combined result of the protocol, client, system policies, and app traffic.

When comparing mobile battery use, keep app behavior similar; do not play media for one protocol while leaving the other idle. First check whether idle standby is stable, then whether the client returns to low activity after common tasks, and finally test Wi-Fi and mobile-data switching. A combination that reconnects frequently may use more power through repeated wake-ups even if each handshake is lightweight.

QSVPN supports unlimited devices, but each device should still be configured for its own operating system. Copying complex desktop rules directly to mobile may increase background matching and maintenance cost; using a simplified mobile setup in a development environment may omit command-line and container traffic. A safer approach is to share the subscription source while choosing the takeover mode, protocol, and route separately for each device.

ROUTE TOPOLOGY

Route differences: direct, relay, and dedicated

Direct: shorter path, greater reliance on public interconnection

A direct route usually means the client reaches the remote node through the current access network without an additional service-controlled entry point. Its simple structure and limited forwarding can provide direct latency and throughput when the local carrier connects well to the target region. The same dependency is its weakness: routing relies more on the public internet, making detours and congestion harder for the service to adjust across carriers, regions, or peak hours.

When choosing direct access, compare the actual path between the local carrier and target region rather than geographic distance alone. A nearby node may take a detour because of interconnection, while a farther node may have a cleaner path. If daytime performance is normal but evenings fluctuate, and several direct routes in the same region change together, public interconnection or local-exit congestion is more likely.

Relay: add a forwarding hop for more path control

A relay route first connects to an entry point that is nearby or better interconnected, then forwards traffic to the target exit. It adds a forwarding hop but may avoid an unstable public path. Its value is not eliminating physical distance, but dividing a difficult long path into sections so the service can choose a more suitable entry and onward route. Relays are often used to improve path consistency across carriers, during peak-hour fluctuations, or for distant targets.

Relays also have capacity and queues. Congestion at the entry, on the backbone between entry and exit, or at the exit can affect results. If the entry connects quickly but the target app remains slow, determine whether the issue is in the second half of the relay or between the exit and target service. Switching exits behind the same entry or comparing relays in the same region can narrow the scope. Repeatedly changing protocols while the path stays the same usually cannot fix congestion in the relay link.

Dedicated: prioritize path control and stability

A dedicated route generally uses more controllable cross-region capacity or a fixed-quality path to reduce random detours on the public internet. It emphasizes consistent latency, peak-hour behavior, and long-lived connection stability rather than promising the highest instant speed every time. For remote collaboration, sustained API calls, code sync, interactive content, and high-bitrate media, a consistent path is often more valuable than occasional peaks.

A dedicated route is still affected by local access, entry capacity, exit networks, and target-service status. Unstable Wi-Fi, an overloaded home-router queue, or a busy target platform will not disappear automatically. The right interpretation is that a dedicated route reduces uncertainty in one part of the path and makes troubleshooting clearer; it does not remove every network variable.

Understand entry and exit separately

The entry determines which network segment the client reaches first; the exit determines the region the target service sees and the final path. Some routes place entry and exit in different regions. Their names may highlight the exit region, but the experience also depends on distance to the entry. For Streaming or AI Tools routes, the exit region matches the service area; for development and office traffic, entry quality and long-connection stability matter too.

Choose the exit region based on the target service, then compare entry points and route types among the available options. If the target only requires stable access and no specific region, prefer a nearby exit with a shorter network path. If a fixed region is required, compare direct, relay, and dedicated routes within that region. QSVPN’s regions and route types are listed on the global node list; coverage is 100+ countries / 180+ routes.

A more complex route is not automatically better. Direct access may minimize forwarding on a well-connected network; relays are more valuable when public paths are unstable; dedicated routes suit tasks that prioritize consistency. Choose based on the current access network, target region, and workload rather than treating one topology as the fixed answer for every scenario.

LOSS & CONGESTION

Packet loss, jitter, and peak-hour congestion

Packet loss is not one single fault

Packets can be lost at the wireless access point, local router, carrier exit, interconnection, route entry, backbone path, or before the target service. Wireless interference often causes brief fluctuations and retransmissions. A long home-router queue makes other requests wait during large tasks. Carrier interconnection congestion often appears at fixed times, while a remote-exit issue may affect only certain regions or services. “Loading failed” alone cannot identify where packets were lost.

Reliable transport retransmits lost packets and adjusts its sending pace to preserve complete data, but apps may feel a pause. Modern datagram transport can recover different logical streams more independently and reduce some head-of-line waiting, while still rebuilding critical data. Real-time apps may discard outdated content; file transfers must recover it. Because protocols handle loss differently, downloads, voice, and first-page loads can show different symptoms on the same network.

Jitter disrupts interaction more than average latency

Jitter means that packet arrival intervals are inconsistent. Even if most requests are fast, occasional long waits can make voice, remote input, and continuous completion feel choppy. Downloads can absorb some jitter with buffering; interactive tasks cannot wait indefinitely. When choosing a route, consistently stable responses are usually more valuable than occasional bursts of speed.

Common causes include Wi-Fi contention, network switching, queueing, public-interconnection changes, and route load. Stop local high-volume tasks first, then compare routes with the same app. If performance improves immediately after uploads stop, the local upstream queue may be the main variable. If only one region fluctuates, compare other paths there. If every route fluctuates on one access network, test another access network.

Where does peak-hour congestion occur?

Peak hours bring more simultaneous home and mobile users, but congestion can occur in different places: shared cell capacity, a carrier’s cross-network exit, public interconnection, a relay entry, or a busy remote exit. Each location calls for a different response. When local access is congested, changing the remote protocol has limited value. For public-interconnection congestion, a relay or dedicated route may provide another path. For a single busy exit, another exit in the same region is the direct test.

Identify peak-hour issues by comparing time and scope. If the day-versus-evening difference repeats consistently and affects several targets, path capacity deserves attention. If only one app slows while other pages and downloads work, the target service or exit-region choice may be responsible. If large downloads are fine but interaction is choppy, focus on jitter and queues rather than total throughput.

Do not substitute continuous concurrent speed tests for real tasks. High concurrency deliberately fills the link, measuring performance under saturation and potentially affecting other devices on the network. A more useful approach is to observe first load, sustained transfer, interactive response, and network switching in everyday apps, then make a small comparison. Change one condition at a time and record the stage where the difference appears.

Turn symptoms into actionable branches

If the Connect button stays in setup for a long time, try another route in the same region; if it still fails, change the protocol, then the access network. If first-page loading is slow but transfer is normal after opening, check name resolution and the first-packet path. If download speed gradually falls, look for local bandwidth use and compare topologies. If voice or remote interaction is choppy, choose a path with less jitter before comparing datagram options. If there is no traffic after waking from sleep, reconnect and check background permissions.

If the issue appears only in one client, update the subscription, restart the client, and grant system network permissions again. If several devices on the same network are affected, investigate the local network and public path first. If the same device recovers on another access network, the original network is the main variable. QSVPN supports unlimited devices, making cross-checks easier, but keep the target route and app consistent during testing.

No protocol can replace sufficient path capacity during peak hours. A protocol changes recovery, concurrency, and waiting behavior; route topology changes the networks data traverses; client policies can reduce background reconnects and routing errors. Separating these factors shows whether to change the protocol, change the route, or wait for local access to recover.

SELECTION WORKFLOW

Choose protocols and routes by scenario

Web, documents, and everyday sync

Everyday browsing depends on successful setup, stable name resolution, and complete page resources. Start with a nearby route with a clear path, then use a mature Shadowsocks, Trojan, or VLESS combination. If first-page loading is slow but downloads are normal, compare routes in the same region and name resolution before moving to a more complex protocol. Document sync and code pulls require complete delivery, making reliable transport an easy starting point to troubleshoot.

If the browser works but command-line tools cannot connect, the issue is more likely proxy coverage than protocol speed. The browser may read the system proxy, while command-line tools need environment settings or unified takeover through a virtual interface. Windows, macOS, and Linux use different app paths. Get the matching platform client from the download entry, then follow the quick-start guide to configure permissions and import the subscription.

AI Tools and long-lived developer connections

AI conversations, code completion, and command-line APIs often involve persistent connections, streamed responses, and concurrent requests. The priorities are consistent exit regions, stable long-lived connections, and low jitter. Choose an exit based on the tool’s supported region, then compare relay and dedicated routes there. Start with stable reliable transport; if packet loss or interactive waiting is noticeable, compare the multiplexing and recovery behavior of Hysteria2 or TUIC.

Development environments require separate checks for the IDE, terminal, package manager, and browser. Configuring an IDE proxy does not automatically cover the terminal, and terminal environment settings do not change system apps. Scattered rules make “web works, commands fail” more likely. Use system-wide takeover for consistent behavior, or keep clear app rules when precise control is needed and verify them one by one. See AI coding-tool network testing comparison and Claude route selection guide for focused troubleshooting.

Streaming and sustained transfer

Streaming first requires an exit region that matches the content area, followed by buffering and sustained throughput. Fix the region first, then compare route types within it. A short burst of peak speed does not represent an entire playback session. Check startup, quality changes, seeking, and continuous playback. If playback starts quickly but buffers repeatedly later, inspect sustained route capacity and local network use. If the page opens but the content region is wrong, change the exit region.

Reliable transport suits complete media delivery, while Hysteria2 and TUIC may use bandwidth more actively on high-latency or somewhat lossy paths. The choice depends on whether the access network supports datagrams consistently. If datagrams are unstable on a public network, returning to a mature Trojan, VLESS, or Shadowsocks combination is often more reliable for playback. Do not change region and protocol at the same time, or you cannot tell which change helped.

Mobile work and frequent network changes

Mobile work requires attention to Wi-Fi/mobile-data switching, sleep recovery, and battery use. Options such as TUIC with modern session handling can be useful for comparison, but results depend on the client and system background policy. If the device frequently loses connection with the screen off, check on-demand connections, power restrictions, and network-extension permissions first. If it stalls only after switching networks and reconnecting restores service, evaluate the client’s migration and state cleanup.

Keep mobile rules concise. Excessive app routing, frequent probing, and detailed logs increase background activity. Make common apps stable first, then add rules gradually. For routes, prioritize nearby entries and reliable recovery; choose a specific exit only when the target service requires one. QSVPN supports iOS and Android as well as Windows / macOS / Linux, so different devices can use the same account, but each platform should be configured separately.

Build a stable combination of your own

Determine the final combination through a fixed process: choose the target region, compare route topologies there, lock in the better route, then compare protocols. After fixing the protocol, test foreground tasks, background idle, and network switching. Keep one reliable-transport combination and one datagram combination for compatibility and unstable-network scenarios. A small set of explainable combinations is easier to maintain than a large collection of near-duplicates.

When performance changes, start with the layer that changed most recently. After changing clients, check system permissions and takeover mode. After changing access networks, check datagram compatibility and the path. If the target service changed regional policy, check the exit region. Only after these conditions are stable should you compare protocols again. This avoids mistaking temporary route variation for a lasting technical conclusion.

QSVPN monthly plans are ¥9.9/month with 60GB, ¥18/month with 250GB, and ¥28/month with 500GB. Traffic resets monthly on the activation date, and mid-cycle upgrades are prorated by the remaining days. Data packages are ¥158/300GB, ¥358/1000GB, and ¥658/3000GB; they last until used and never expire. See the plans page for the full terms. The service offers a 60-day no-questions-asked refund, and registration requires no email address—username and password are enough.

There is no permanent answer for protocol selection. The device OS, client implementation, access network, target region, and route status all change. The effective method is to build a layered model, keep test conditions fixed, limit simultaneous changes, and tie results to a specific task. A stable connection, acceptable resource use, and a clear path for the target app define the right combination for the current environment.