disable disk cache

The bulk of the memory libtorrent will use is used for the disk cache. To save the absolute most amount of memory, you can disable the cache by setting session_settings::cache_size to 0. You might want to consider using the cache but just disable caching read operations. You do this by settings session_settings::use_read_cache to false. This is the main factor in how much memory will be used by the client. Keep in mind that you will degrade performance by disabling the cache. You should benchmark the disk access in order to make an informed trade-off.

remove torrents

Torrents that have been added to libtorrent will inevitably use up memory, even when it's paused. A paused torrent will not use any peer connection objects or any send or receive buffers though. Any added torrent holds the entire .torrent file in memory, it also remembers the entire list of peers that it's heard about (which can be fairly long unless it's capped). It also retains information about which blocks and pieces we have on disk, which can be significant for torrents with many pieces.

If you need to minimize the memory footprint, consider removing torrents from the session rather than pausing them. This will likely only make a difference when you have a very large number of torrents in a session.

The downside of removing them is that they will no longer be auto-managed. Paused auto managed torrents are scraped periodically, to determine which torrents are in the greatest need of seeding, and libtorrent will prioritize to seed those.

socket buffer sizes

You can make libtorrent explicitly set the kernel buffer sizes of all its peer sockets. If you set this to a low number, you may see reduced throughput, especially for high latency connections. It is however an opportunity to save memory per connection, and might be worth considering if you have a very large number of peer connections. This memory will not be visible in your process, this sets the amount of kernel memory is used for your sockets.

Change this by setting session_settings::recv_socket_buffer_size and session_settings::send_socket_buffer_size.

peer list size

The default maximum for the peer list is 4000 peers. For IPv4 peers, each peer entry uses 32 bytes, which ends up using 128 kB per torrent. If seeding 4 popular torrents, the peer lists alone uses about half a megabyte.

The default limit is the same for paused torrents as well, so if you have a large number of paused torrents (that are popular) it will be even more significant.

If you're short of memory, you should consider lowering the limit. 500 is probably enough. You can do this by setting session_settings::max_peerlist_size to the max number of peers you want in the torrent's peer list.

You should also lower the same limit but for paused torrents. It might even make sense to set that even lower, since you only need a few peers to start up while waiting for the tracker and DHT to give you fresh ones. The max peer list size for paused torrents is set by session_settings::max_paused_peerlist_size.

The drawback of lowering this number is that if you end up in a position where the tracker is down for an extended period of time, your only hope of finding live peers is to go through your list of all peers you've ever seen. Having a large peer list will also help increase performance when starting up, since the torrent can start connecting to peers in parallel with connecting to the tracker.

send buffer watermark

The send buffer watermark controls when libtorrent will ask the disk I/O thread to read blocks from disk, and append it to a peer's send buffer.

When the send buffer has fewer than or equal number of bytes as session_settings::send_buffer_watermark, the peer will ask the disk I/O thread for more data to send. The trade-off here is between wasting memory by having too much data in the send buffer, and hurting send rate by starving out the socket, waiting for the disk read operation to complete.

If your main objective is memory usage and you're not concerned about being able to achieve high send rates, you can set the watermark to 9 bytes. This will guarantee that no more than a single (16 kiB) block will be on the send buffer at a time, for all peers. This is the least amount of memory possible for the send buffer.

You should benchmark your max send rate when adjusting this setting. If you have a very fast disk, you are less likely see a performance hit.

optimize hashing for memory usage

When libtorrent is doing hash checks of a file, or when it re-reads a piece that was just completed to verify its hash, there are two options. The default one is optimized for speed, which allocates buffers for the entire piece, reads in the whole piece in one read call, then hashes it.

The second option is to optimize for memory usage instead, where a single buffer is allocated, and the piece is read one block at a time, hashing it as each block is read from the file. For low memory environments, this latter approach is recommended. Change this by settings session_settings::optimize_hashing_for_speed to false. This will significantly reduce peak memory usage, especially for torrents with very large pieces.

reduce executable size

Compilers generally add a significant number of bytes to executables that make use of C++ exceptions. By disabling exceptions (-fno-exceptions on GCC), you can reduce the executable size with up to 45%. In order to build without exception support, you need to patch parts of boost.

Also make sure to optimize for size when compiling.

file pool

libtorrent keeps an LRU file cache. Each file that is opened, is stuck in the cache. The main purpose of this is because of anti-virus software that hooks on file-open and file close to scan the file. Anti-virus software that does that will significantly increase the cost of opening and closing files. However, for a high performance seed, the file open/close might be so frequent that it becomes a significant cost. It might therefore be a good idea to allow a large file descriptor cache. Adjust this though session_settings::file_pool_size.

Don't forget to set a high rlimit for file descriptors in your process as well. This limit must be high enough to keep all connections and files open.

disk cache

You typically want to set the cache size to as high as possible. The session_settings::cache_size is specified in 16 kiB blocks. Since you're seeding, the cache would be useless unless you also set session_settings::use_read_cache to true.

In order to increase the possibility of read cache hits, set the session_settings::cache_expiry to a large number. This won't degrade anything as long as the client is only seeding, and not downloading any torrents.

peers

First of all, in order to allow many connections, set the global connection limit high, session::set_max_connections(). Also set the upload rate limit to infinite, session::set_upload_rate_limit(), passing 0 means infinite.

When dealing with a large number of peers, it might be a good idea to have slightly stricter timeouts, to get rid of lingering connections as soon as possible.

There are a couple of relevant settings: session_settings::request_timeout, session_settings::peer_timeout and session_settings::inactivity_timeout.

For seeds that are critical for a delivery system, you most likely want to allow multiple connections from the same IP. That way two people from behind the same NAT can use the service simultaneously. This is controlled by session_settings::allow_multiple_connections_per_ip.

In order to always unchoke peers, turn off automatic unchoke session_settings::auto_upload_slots and set the number of upload slots to a large number via session::set_max_uploads().

torrent limits

To seed thousands of torrents, you need to increase the session_settings::active_limit and session_settings::active_seeds.

disk metrics

To enable disk I/O instrumentation, define TORRENT_DISK_STATS when building. When built with this configuration libtorrent will create three log files, measuring various aspects of the disk I/O. The following table is an overview of these files and what they measure.

disk_io_thread.log

The structure of this log is simple. For each line, there are two columns, a timestamp and the operation that was started. There is a special operation called idle which means it looped back to the top and started waiting for new jobs. If there are more jobs to handle immediately, the idle state is still there, but the timestamp is the same as the next job that is handled.

Some operations have a 3:rd column with an optional parameter. read and write tells you the number of bytes that were requested to be read or written. flushing tells you the number of bytes that were flushed from the disk cache.

This is an example excerpt from a log:

3702 idle
3706 check_fastresume
3707 idle
4708 save_resume_data
4708 idle
8230 read 16384
8255 idle
8431 read 16384

The script to parse this log and generate a graph is called parse_disk_log.py. It takes the log file as the first command line argument, and produces a file: disk_io.png. The time stamp is in milliseconds since start.

You can pass in a second, optional, argument to specify the window size it will average the time measurements over. The default is 5 seconds. For long test runs, it might be interesting to increase that number. It is specified as a number of seconds.

This is an example graph generated by the parse script.

disk_buffers.log

The disk buffer log tells you where the buffer memory is used. The log format has a time stamp, the name of the buffer usage which use-count changed, colon, and the new number of blocks that are in use for this particular key. For example:

23671 write cache: 18
23671 receive buffer: 3
24153 receive buffer: 2
24153 write cache: 19
24154 receive buffer: 3
24198 receive buffer: 2
24198 write cache: 20
24202 receive buffer: 3
24305 send buffer: 0
24305 send buffer: 1
24909 receive buffer: 2
24909 write cache: 21
24910 receive buffer: 3

The time stamp is in milliseconds since start.

To generate a graph, use parse_disk_buffer_log.py. It takes the log file as the first command line argument. It generates disk_buffer.png.

This is an example graph generated by the parse script.

disk_access.log

The disc access log has three fields. The timestamp (milliseconds since start), operation and offset. The offset is the absolute offset within the torrent (not within a file). This log is only useful when you're downloading a single torrent, otherwise the offsets will not be unique.

In order to easily plot this directly in gnuplot, without parsing it, there are two lines associated with each read or write operation. The first one is the offset where the operation started, and the second one is where the operation ended.

Example:

15437 read 301187072
15437 read_end 301203456
16651 read 213385216
16680 read_end 213647360
25879 write 249036800
25879 write_end 249298944
26811 read 325582848
26943 read_end 325844992
36736 read 367001600
36766 read_end 367263744

The disk access log does not have any good visualization tool yet. There is however a gnuplot file, disk_access.gnuplot which assumes disk_access.log is in the current directory.

The density of the disk seeks tells you how hard the drive has to work.

session stats

By defining TORRENT_STATS libtorrent will write a log file called session_stats.log which is in a format ready to be passed directly into gnuplot. The parser script parse_session_stats.py will however parse out the field names and generate 3 different views of the data. This script is easy to modify to generate the particular view you're interested in.

The first line in the log contains all the field names, separated by colon:

second:upload rate:download rate:downloading torrents:seeding torrents:peers...

The rest of the log is one line per second with all the fields' values.

These are the fields:

This is an example of a graph that can be generated from this log:

It shows statistics about the number of peers and peers states. How at the startup there are a lot of half-open connections, which tapers off as the total number of peers approaches the limit (50). It also shows how the total peer list slowly but steadily grows over time. This list is plotted against the right axis, as it has a different scale as the other fields.