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Filename: 255-hs-load-balancing.txt
Title: Controller features to allow for load-balancing hidden services
Author: Tom van der Woerdt
Created: 2015-10-12
Status: Reserve
1. Overview and motivation
To address scaling concerns with the onion web, we want to be able to
spread the load of hidden services across multiple machines.
OnionBalance is a great stab at this, and it can currently give us 60x
the capacity by publishing 6 separate descriptors, each with 10
introduction points, but more is better. This proposal aims to address
hidden service scaling up to a point where we can handle millions of
concurrent connections.
The basic idea involves splitting the 'introduce' from the
'rendezvous', in the tor implementation, and adding new events and
commands to the control specification to allow intercepting
introductions and transmitting them to different nodes, which will then
take care of the actual rendezvous. External controller code could
relay the data to another node or a pool of nodes, all which are run by
the hidden service operator, effectively distributing the load of
hidden services over multiple processes.
By cleverly utilizing the current descriptor methods through
OnionBalance, we could publish up to sixty unique introduction points,
which could translate to many thousands of parallel tor workers after
implementing this proposal. This should allow hidden services to go
multi-threaded with a few small changes, and continue scaling for a
long time.
2. Specification
We propose two additions to the control specification, of which one is
an event and the other is a new command. We also introduce two new
configuration options.
2.1. HiddenServiceAutomaticRendezvous configuration option
The syntax is:
"HiddenServiceAutomaticRendezvous" SP [1|0] CRLF
This configuration option is defined to be a boolean toggle which, if
zero, stops the tor implementation from automatically doing a rendezvous
when an INTRODUCE2 cell is received. Instead, an event will be sent to
the controllers. If no controllers are present, the introduction cell
should be dropped, as acting on it instead of dropping it could open a
window for a DoS.
This configuration option can be specified on a per-hidden service
level, and can be set through the controller for ephemeral hidden
services as well.
2.2. HiddenServiceTag configuration option
The syntax is:
"HiddenServiceTag" SP [a-zA-Z0-9] CRLF
To identify groups of hidden services more easily across nodes, a
name/tag can be given to a hidden service. Defaults to the storage path
of the hidden service (HiddenServiceDir).
2.3. The "INTRODUCE" event
The syntax is:
"650" SP "INTRODUCE" SP HSTag SP RendezvousData CRLF
HSTag = the tag of the hidden service
RendezvousData = implementation-specific, but must not contain
whitespace, must only contain human-readable
characters, and should be no longer than 2048 bytes
The INTRODUCE event should contain sufficient data to allow continuing
the rendezvous from another Tor instance. The exact format is left
unspecified and left up to the implementation. From this follows that
only matching versions can be used safely to coordinate the rendezvous
of hidden service connections.
2.4. "PERFORM-RENDEZVOUS" command
The syntax is:
"PERFORM-RENDEZVOUS" SP HSTag SP RendezvousData CRLF
This command allows a controller to perform a rendezvous using data
received through an INTRODUCE event. The format of RendezvousData is
not specified other than that it must not contain whitespace, and
should be no longer than 2048 bytes.
2.5. The RendezvousData blob
The "RendezvousData" blob is opaque to the controller, however the tor
implementation should of course know how to deal with it. Its contents
is the minimal amount of data required to process the INTRODUCE2 cell
on another machine.
Before proposal 224 is implemented, this could consist of the
INTRODUCE2 cell payload, the key to decrypt the cell if the cell
is not already decrypted (which may be preferable, for performance
reasons), and data necessary for other machines to recognize what to do
with the cell.
After proposal 224 is implemented, the blob would contain any
additional keys needed to perform the rendezvous handshake.
Implementations do not need to handle blobs generated by other versions
of the software. Because of this, it is recommended to include a
version number which can be used to verify that the blob is from a
compatible implementation.
3. Compatibility and security
The implementation of these methods should, ideally, not change
anything in the network, and all control changes are opt-in, so this
proposal is fully backwards compatible.
Controllers handling this data must be careful to not leak rendezvous
data to untrusted parties, as it could be used to intercept and
manipulate hidden services traffic.
4. Example
Let's take an example where a client (Alice) tries to contact Bob's
hidden service. To do this, Bob follows the normal hidden service
specification, except he sets up ten servers to do this. One of these
publishes the descriptor, the others have this disabled. When the
INTRODUCE2 cell arrives at the node which published the descriptor, it
does not immediately try to perform the rendezvous, but instead outputs
this to the controller. Through an out-of-band process this message is
relayed to a controller of another node of Bob's, and this transmits
the "PERFORM-RENDEZVOUS" command to that node. This node
performs the rendezvous, and will continue to serve data to Alice,
whose client will now not have to talk to the introduction point
anymore.
5. Other considerations
We have left the actual format of the rendezvous data in the control
protocol unspecified, so that controllers do not need to worry about
the various types of hidden service connections, most notably proposal
224.
The decision to not implement the actual cell relaying in the tor
implementation itself was taken to allow more advanced configurations,
and to leave the actual load-balancing algorithm to the implementor of
the controller. The developer of the tor implementation should not
have to choose between a round-robin algorithm and something that could
pull CPU load averages from a centralized monitoring system.