Questions on traffic differences between two Exit relays in two different locations
I would like to understand the working of two exit relays, one is about 7 days old -the other worked as a middle relay before and is an exit now for about two weeks. The second one has a higher potential connection up to 250 Mbit/s while the first is supposed to be limited on 100 Mbit/s. They both run (Linux 3.16.0-4...), Tor 0.2.7.6, both use half or less of their CPU and Memory. So why does the second node in a different city in Eastern Europe not attract more traffic compared to the first one and thereby uses its full capacity, even when the second one is longer in the market? Could please somebody explain or send me some links to read ? Does this depend on the location of the node and in which way? Node 1: day rx | tx | total | avg. rate ------------------------+-------------+-------------+--------------- 26.05.2016 594,06 MiB | 121,20 MiB | 715,27 MiB | 67,82 kbit/s 27.05.2016 30,22 GiB | 30,20 GiB | 60,42 GiB | 5,87 Mbit/s 28.05.2016 188,73 GiB | 191,03 GiB | 379,76 GiB | 36,87 Mbit/s 29.05.2016 216,98 GiB | 220,23 GiB | 437,21 GiB | 42,45 Mbit/s 30.05.2016 280,10 GiB | 285,21 GiB | 565,31 GiB | 54,89 Mbit/s 31.05.2016 334,17 GiB | 338,36 GiB | 672,53 GiB | 65,30 Mbit/s 01.06.2016 678,74 GiB | 691,32 GiB | 1,34 TiB | 133,02 Mbit/s 02.06.2016 714,88 GiB | 726,10 GiB | 1,41 TiB | Node2: day rx | tx | total | avg. rate ------------------------+-------------+-------------+--------------- 05/12/16 24.68 GiB | 25.66 GiB | 50.34 GiB | 4.89 Mbit/s 05/13/16 64.18 GiB | 66.27 GiB | 130.45 GiB | 12.67 Mbit/s 05/14/16 68.34 GiB | 70.30 GiB | 138.63 GiB | 13.46 Mbit/s 05/15/16 66.34 GiB | 68.00 GiB | 134.34 GiB | 13.04 Mbit/s 05/16/16 72.87 GiB | 74.51 GiB | 147.38 GiB | 14.31 Mbit/s 05/17/16 73.32 GiB | 74.74 GiB | 148.06 GiB | 14.38 Mbit/s 05/18/16 81.14 GiB | 82.17 GiB | 163.30 GiB | 15.86 Mbit/s 05/19/16 72.22 GiB | 74.33 GiB | 146.55 GiB | 14.23 Mbit/s 05/20/16 74.62 GiB | 76.93 GiB | 151.55 GiB | 14.71 Mbit/s 05/21/16 96.44 GiB | 98.68 GiB | 195.12 GiB | 18.94 Mbit/s 05/22/16 227.48 GiB | 225.03 GiB | 452.50 GiB | 43.93 Mbit/s 05/23/16 216.46 GiB | 214.71 GiB | 431.17 GiB | 41.86 Mbit/s 05/24/16 231.87 GiB | 227.53 GiB | 459.41 GiB | 44.60 Mbit/s 05/25/16 302.77 GiB | 298.03 GiB | 600.80 GiB | 58.33 Mbit/s 05/26/16 280.37 GiB | 273.64 GiB | 554.01 GiB | 53.79 Mbit/s 05/27/16 318.75 GiB | 312.23 GiB | 630.98 GiB | 61.26 Mbit/s 05/28/16 317.57 GiB | 311.64 GiB | 629.21 GiB | 61.09 Mbit/s 05/29/16 271.41 GiB | 267.75 GiB | 539.16 GiB | 52.35 Mbit/s 05/30/16 290.85 GiB | 284.82 GiB | 575.67 GiB | 55.89 Mbit/s 05/31/16 323.61 GiB | 313.39 GiB | 637.00 GiB | 61.85 Mbit/s 06/01/16 279.34 GiB | 276.31 GiB | 555.65 GiB | 53.95 Mbit/s 06/02/16 259.17 GiB | 256.20 GiB | 515.38 GiB |
Hey, Have you checked the Atlas + Globe websites ? Using your 2 server's fingerprints. https://atlas.torproject.org/ https://globe.torproject.org/ On Atlas, you will find "Consensus Weight" with a number for your exit 1 and exit 2. The higher the number is, the higher the server will be used on the Tor network. You will be able compare your 2 servers seen by authorities easily. Hope this helps a little ;) Le 02/06/2016 à 21:20, pa011 a écrit :
I would like to understand the working of two exit relays, one is about 7 days old -the other worked as a middle relay before and is an exit now for about two weeks. The second one has a higher potential connection up to 250 Mbit/s while the first is supposed to be limited on 100 Mbit/s. They both run (Linux 3.16.0-4...), Tor 0.2.7.6, both use half or less of their CPU and Memory.
So why does the second node in a different city in Eastern Europe not attract more traffic compared to the first one and thereby uses its full capacity, even when the second one is longer in the market?
Could please somebody explain or send me some links to read ? Does this depend on the location of the node and in which way?
Node 1:
day rx | tx | total | avg. rate ------------------------+-------------+-------------+--------------- 26.05.2016 594,06 MiB | 121,20 MiB | 715,27 MiB | 67,82 kbit/s 27.05.2016 30,22 GiB | 30,20 GiB | 60,42 GiB | 5,87 Mbit/s 28.05.2016 188,73 GiB | 191,03 GiB | 379,76 GiB | 36,87 Mbit/s 29.05.2016 216,98 GiB | 220,23 GiB | 437,21 GiB | 42,45 Mbit/s 30.05.2016 280,10 GiB | 285,21 GiB | 565,31 GiB | 54,89 Mbit/s 31.05.2016 334,17 GiB | 338,36 GiB | 672,53 GiB | 65,30 Mbit/s 01.06.2016 678,74 GiB | 691,32 GiB | 1,34 TiB | 133,02 Mbit/s 02.06.2016 714,88 GiB | 726,10 GiB | 1,41 TiB |
Node2:
day rx | tx | total | avg. rate ------------------------+-------------+-------------+--------------- 05/12/16 24.68 GiB | 25.66 GiB | 50.34 GiB | 4.89 Mbit/s 05/13/16 64.18 GiB | 66.27 GiB | 130.45 GiB | 12.67 Mbit/s 05/14/16 68.34 GiB | 70.30 GiB | 138.63 GiB | 13.46 Mbit/s 05/15/16 66.34 GiB | 68.00 GiB | 134.34 GiB | 13.04 Mbit/s 05/16/16 72.87 GiB | 74.51 GiB | 147.38 GiB | 14.31 Mbit/s 05/17/16 73.32 GiB | 74.74 GiB | 148.06 GiB | 14.38 Mbit/s 05/18/16 81.14 GiB | 82.17 GiB | 163.30 GiB | 15.86 Mbit/s 05/19/16 72.22 GiB | 74.33 GiB | 146.55 GiB | 14.23 Mbit/s 05/20/16 74.62 GiB | 76.93 GiB | 151.55 GiB | 14.71 Mbit/s 05/21/16 96.44 GiB | 98.68 GiB | 195.12 GiB | 18.94 Mbit/s 05/22/16 227.48 GiB | 225.03 GiB | 452.50 GiB | 43.93 Mbit/s 05/23/16 216.46 GiB | 214.71 GiB | 431.17 GiB | 41.86 Mbit/s 05/24/16 231.87 GiB | 227.53 GiB | 459.41 GiB | 44.60 Mbit/s 05/25/16 302.77 GiB | 298.03 GiB | 600.80 GiB | 58.33 Mbit/s 05/26/16 280.37 GiB | 273.64 GiB | 554.01 GiB | 53.79 Mbit/s 05/27/16 318.75 GiB | 312.23 GiB | 630.98 GiB | 61.26 Mbit/s 05/28/16 317.57 GiB | 311.64 GiB | 629.21 GiB | 61.09 Mbit/s 05/29/16 271.41 GiB | 267.75 GiB | 539.16 GiB | 52.35 Mbit/s 05/30/16 290.85 GiB | 284.82 GiB | 575.67 GiB | 55.89 Mbit/s 05/31/16 323.61 GiB | 313.39 GiB | 637.00 GiB | 61.85 Mbit/s 06/01/16 279.34 GiB | 276.31 GiB | 555.65 GiB | 53.95 Mbit/s 06/02/16 259.17 GiB | 256.20 GiB | 515.38 GiB |
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-- Petrusko PubKey EBE23AE5 C0BF 2184 4A77 4A18 90E9 F72C B3CA E665 EBE2 3AE5
I've found that utilization and consensus weight of relays is highly variable, and the causes aren't always easy to pin down. There are a lot of factors that can contribute. A few off the top of my head: - CPU performance. AES-NI helps here. It seems unlikely this is your issue if your CPU utilization is only half. - If using a VPS, the behavior of other VMs using the same underlying hardware can be a big factor. - Bandwidth authorities connectivity to your relay has an impact. Is some peering point between a bandwidth authority and your node over-subscribed? Some of this is out of your control and hard to predict ahead of time. When I want to add another relay to the network, I've found it useful to bring up a bunch of relays at once, measure the performance of each, and then keep the best performing relay. Automation (I use Ansible) helps with this.
participants (3)
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Green Dream -
pa011 -
Petrusko