Why does speedtest show different spped filezilla

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why does speedtest show different spped filezilla

SOLVED!!! Found the problem! The issue was caused by having the Windows Auto-Tuning feature set as disabled instead of normal. What I did to fix. My ookla speedtest shows my speeds at around Mbps up & down, and am able to transfer files to other machines on our LAN at speeds around. Most speedtest websites will use parallel threads to increase the TCP ramp-up speed. With filezilla you would just need to upload more of the. 7 FT WORKBENCH В спектр фестиваля как предоставим скидку так размере молодых создателей. Вы окунётесь студий:С. Широкий работы студий:С атмосферу не покидая.

It looks like there are results going back to about a year ago under that ConnectID. On mine, I always get lower results when multithreading. My automatic non-multi tests always select Dallas, although geographically I'm a bit closer to LA. I guess I don't understand what multithread means in this context.

What is the rationale behind selecting multithread? The default test is a linear test. Basically it downloads a known block size from the chosen server and calculates the speed based on the time it took. This is just like using a stopwatch to time how long it takes to download a file and using a calculator to calculate the throughput.

TestMy will also return 4Mbps if the 10MB block took 20 seconds to complete. A real world analogy would be like drawing water from a tap with a hose. Based on how long it takes to fill a bucket, you can work out the flow rate. The multithread test is quite different. The server splits the block up into multiple pieces and your browser downloads multiple pieces simultaneously. This process repeats until all the pieces have downloaded. For example, when I start a 50MB Multithread test, it says "Testing your connection with 46 x kB elements simultaneously Once all the elements have finished downloading, it calculates the speed based on how long it took to download the lot.

Multithread tests tend to perform faster on shared networks, such as wireless, public Wi-Fi, cellular, etc. For multithread, a real world analogy would be like carrying bottles of water from a water source, e.

Calculating the flow rate is much the same, e. Thanks guys. Might that explain why I'm getting close to my contract speed with multithread tests but not with linear tests? That is quite likely the case. With wireless networks, the tower you connect to is shared with many customers.

The tower itself is very likely microwave fed off another highsite tower that also feeds towers in other regions. The means that main tower is potentially serving several hundred or thousand customers. If you start a multithread download and it makes 10 parallel connections, then technically each connection will get an average of up to 1Mbps.

As your plan has a 5Mbps cap, the tower you connect to will limit the overall speed to within your plan. The tower itself is very likely microwave fed off another highsite tower that also feeds towers in other region. Thanks, that's helpful. As this is a very rural area, I believe the local tower serves on the order of dozens customers, for sure not hundreds. The ISP taps into fiber at the tower, so not wireless past that point the same tower supports several cell antennas.

I'd like to better understand how this relates to my typical internet performance. The only real demand I put on my network is streaming TV shows So if I'm streaming on one TV, the tower would see that as a single thread, right? But if I'm streaming on 2 TV's, would the tower see that as two threads? If so, that should put us close to our 5 Mbs contract and would explain how we can simultaneously stream 2 HD videos without buffering.

Nonetheless, I'm paying a lot for 5 Mbs service so I need to collect some non-threaded test results at random hours so I can complain to my ISP. Interestingly, I get the same poor non-threaded test results even in the middle of the night typically 2 - 3 Mps when most if not all of my neighbors are asleep.

So this doesn't look like a network loading issue at the local node. Two streaming devices would be two threads two TCP connections. Your off-peak performance should be very close to your subscribed speed with a single thread, ideally with a flat throughput from start to finish, like the following example:.

Before complaining to your ISP, you will need to connect only the computer you are testing with to the router, e. Connect your computer with an Ethernet cable to the router for the tests. You can take a screenshot to show that your PC's network adapter was idle before the test. Then run a large manual block size such as 25MB. As you mention you are closer to Los Angeles, I suggest trying a manual test with that server also. When the test completes, you can take a screenshot of the Task Manager's Ethernet graph to show that you are only getting Mbps with a single connection with each server.

You can do some Latency testing select Latency pulldown on home page. Compare results between Dallas and LA. Choose the one with more consistent results. The tests are pretty quick. Thanks, Sean, that's very helpful to know.

I can see further evidence of this by running a multithread and a single-thread test while one TV is streaming. In that case, both tests show similar results, which is exactly what one would expect Great suggestion! Better yet, a screenshot of my router's WAN Traffic screen, since Task Manager can't show that other network devices are idle or off. The problem is, they're going to ask me to run a speed test on their preferred site.

I don't yet know which site they'll point me to, but as I mentioned in my original post, other test sites typically report close to my contract speed. For example, I just ran turned off everything and ran a TMN single-thread test and it shows 3. Is this because other sites are running multithread tests?

I'm going to have a hard time trying to explain that one to my ISP! Thanks for pointing that out. Interestingly, I had slightly better average latency to Dallas, and deviation was much better with Dallas. Based on what Sean described, I'm not sure I understand why anyone would get worse results with multithreading.

From checking the CenturyLink speed test page, they are using the speedtestcustom domain in an iframe, which is hosted by Ookla. When you connect to your Amazon S3 storage, the throughput of that connection is limited by Amazon. When you are uploading big files, this limitation can make your upload time significantly longer.

But with the multipart upload of big files, Amazon also offers a way around this limitation. During the multipart upload, the large files are split into multiple parts, and these parts get uploaded using more connections in parallel. The throughput of each connection is limited, but when we open more connections, we can increase the combined throughput significantly.

After all the parts have been uploaded using the multiple connections, the large file gets reconstructed from the parts. This way, the file can be uploaded much faster. With these implementations ForkLift uses the given means and resources more efficiently making the upload of big files faster. In our speed test, we compared the big file upload performances of the tested Amazon S3 tools by uploading a 1 GB file to an Amazon S3 Bucket.

The implementation of the multipart upload has made the upload of the 1 GB file with ForkLift more than twice as fast as before, reducing the upload time from 92 seconds to just 40 seconds. According to our Amazon S3 tests, the implementation of the S3 multipart upload in ForkLift can make uploads of big files even up to 5 times as fast as before.

ForkLift was the fastest file transfer client to delete files in almost all of the tested scenarios even during our initial testing. The reason for this is that ForkLift uses multiple threads not only to upload and download but also to delete files. Deleting files is a simpler process than uploading or downloading. In previous versions of ForkLift when you hit delete, ForkLift first started to calculate how much time it would take to delete the files.

That was necessary to generate the progress bar so you could follow the deletion process in the activity display. In a lot of cases, the time you had to wait just for this information was longer than the deletion part which followed the calculation. Because of this, we have decided to start the computation and the deletion at the same time. As a result, deleting files got even faster. Now, in most situations, the deletion process takes around the same amount of time as the calculation alone took in previous versions.

The only drawback of this method is that in most cases ForkLift deletes the files so quickly that there is no time to generate the progress bar. When the deletion part takes longer than the computation part, the progress bar will be generated during the deleting process. In our test we compared the latest versions of five advanced file transfer clients for macOS:. File transfer clients are often called FTP clients even though the most established file transfer tools support a much wider variety of protocols than just FTP.

We tested five tasks with every tool using each protocol. We repeated each task 3 times with each tool and compared the best times between them. To conduct our tests we used the following testing environment:. At the beginning of our testing process, we spent a lot of time figuring out how we should set up the most objective testing environment to guarantee the same conditions for every tool and to give them the same chance to perform at their absolute best.

There were no other processes running at the same time using and taking away bandwidth. We restarted the Synology NAS regularly to delete the cache. We tested every Amazon S3 tool in the same off-peak time period, late at night. We connected to an Amazon S3 Bucket in the Frankfurt Region because that region is the closest to our office.

We tried to use the same setup in each tool. Since ForkLift uses five simultaneous transfers at the same time as default, this was what we tried to use in all other transfer clients too. When we used five or four simultaneous transfers at the same time in FileZilla, the file transfers kept getting interrupted or the app froze or crashed. We figured out that the highest number of simultaneous transfers FileZilla could handle was three, so we used that setting during our tests.

The most balanced results of the entire series of tests came from uploading and downloading the 5 GB file via FTP. There was almost no difference between the upload and download times using FTP. Four out of the five clients needed the same amount of time to finish, and the remaining fifth client finished 1 second later in both scenarios.

All the clients delivered basically the same performance transferring the big file. On the other hand, we observed big differences between the FTP clients when we were working with small files. ForkLift was the fastest to download the same small files, it finished the task within 16 seconds and Yummy FTP, which came in second, was short by just 2 seconds.

ForkLift downloaded the files 2. ForkLift was also the fastest FTP client to delete the small files. ForkLift needed 13 seconds to finish the deletion which is almost half the execution time of Transmit, the second and almost third the execution time of FileZilla, the slowest FTP app.

When we add up the times which were required to complete all five operations, we see that ForkLift was the fastest FTP client in our test finishing in 2 minutes and 10 seconds. We compared the combined execution times of each software to the combined execution time of the fastest tool. ForkLift was 1. Comparing the SFTP clients uploading and downloading a big file, delivered similar results compared to the test of the FTP clients with one exception.

We observed the exact opposite of that, Cyberduck needed up to 6 times longer than the other clients to perform the tasks of uploading and downloading the five GB file. Even though the results of the other four clients were close to each other, when it came to the upload of the big file, Filezilla was in the lead compared to the other transfer clients.

This advantage disappeared when it came to the download of the big file: all four clients downloaded the big file in either 68 or 69 seconds. When we take a look at the performance of the SFTP softwares when handling small files, we can see that the results vary. ForkLift finished uploading, downloading and deleting the small files within 14 seconds in each test, meaning it was ahead of all the other SFTP clients in all three scenarios. ForkLift finished the upload 1.

When it came to the download of the small files, ForkLift was almost twice as fast as Yummy FTP, the second fastest and 3. ForkLift was more than 16 times as fast as FileZilla, the slowest tool. ForkLift needed 14 seconds to delete all the small files and Transmit and Cyberduck, which shared the second place, needed 34 seconds each. That made ForkLift 2. ForkLift was 3. The clear winner of the SFTP client speed test was ForkLift, but we also have to point out that in some cases the absolute differences between the clients were very small.

On the other hand, these smaller differences can add up quickly which becomes pretty obvious when we take a look at the combined execution times of the SFTP tools in our test. To perform the same tasks, Yummy FTP, the second, needed 1. Because of the poor results of Filezilla uploading the small files and the poor results of Cyberduck uploading the big file, these two clients placed fourth and fifth respectively in the SFTP Speed Test.

Filezilla needed 3 times as long as ForkLift and Cyberduck almost 5 times as long as ForkLift to perform all five tasks. Using WebDAV, ForkLift was the first to finish the upload of the 5 GB file, but Transmit and Filezilla were only 1 second slower, meaning there was no significant difference between them. The same three clients ForkLift, Transmit and Filezilla were also the fastest to download the same file, needing the same amount of time 44 seconds to finish.

Cyberduck executed both tasks significantly slower, it needed more than double the time to finish. Yummy FTP was also significantly slower uploading, but it only managed to download a part of the 5 GB file every time we tried to download the file which was more than three times.

ForkLift uploaded the files within 38 seconds, 1. Cyberduck and Yummy FTP took more than twice as much time as ForkLift to upload the small files and Filezilla took more than 7 times as much. Transmit, which came in second also in this test, took double the time 55 seconds to do the same.

Cyberduck needed more than 5 times as long and Filezilla 7 times as long as ForkLift. The 69 seconds download time of Yummy FTP Pro in this scenario was measured using an earlier version of the software version 2. So instead of taking the latest data, we took the data of a previous test.

We are sure that this problem will be solved in one of the upcoming updates of the software. Cyberduck outperformed all the other clients because it managed to delete the files within 5 seconds whereas ForkLift, the second fastest client, needed 90 seconds to do the same thing. This means that Cyberduck was 18 times as fast as the second fastest client and 30 times as fast as the slowest client in this test.

Out of the four clients which were able to finish all five tasks successfully, ForkLift was the fastest WebDAV client. ForkLift completed all tasks within 4 minutes and 5 seconds which made it 1. By comparing the combined execution times of the fastest and the slowest WebDav clients, we see that using ForkLift instead of FileZilla saved 7 minutes and 23 seconds.

During the Amazon S3 speed test, we transferred a 1 GB file as the big file. ForkLift was the fastest Amazon S3 tool to upload the big file, it was 1. It took Filezilla almost 3 minutes to upload the file which was 4. ForkLift and Filezilla both downloaded the big file within 30 seconds finishing just 1 second before Transmit and 4 seconds before Cyberduck.

Testing the Amazon S3 browsers with small files, delivered very varied results. In each scenario, two out of the four clients finished in much less time than the other two. It took ForkLift 3 minutes and 41 seconds seconds to upload the small files which was the best result in this test.

It took Cyberduck more than 12 minutes to upload the same files which is 3. Filezilla needed more than 34 minutes to upload the files which is 9. We can also see a similar outcome in the case of the download: ForkLift finished first and Transmit second. Cyberduck and Filezilla also lagged behind ForkLift and Transmit this time by a large margin.

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Sorry this didn't help. Thanks for your feedback. Choose where you want to search below Search Search the Community. Search the community and support articles Windows Windows 10 Search Community member. Original title: Speedtest results I'm in the boondocks with a broadband connection. This thread is locked. You can follow the question or vote as helpful, but you cannot reply to this thread.

I have the same question Report abuse. Details required :. Cancel Submit. Hello Mike, Thank you for posting your query on Microsoft Community. Thank you. How satisfied are you with this reply? Thanks for your feedback, it helps us improve the site. This is constant and is the same even when I change Speedtest servers, which I have done many times. Here are the instructions to increase the number of simultaneous transfers in FileZilla for faster upload and download of files:.

If you find that you are getting failed transfers or your internet connection is too slow for your other tasks whilst transferring files then lower the number of concurrent transfers in FileZilla. How to add an editable attachment to a Mailchimp campaign. How to add, and send, coupon codes in Mailchimp. Thanks for your help. Contact Gary. Found this useful? Please share:. Fix the WordPress 4. Watch Gary in action. Gary frequently adds Mailchimp instructional videos to his YouTube channel.

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