clean up export, add module level docs
- public NetworkCoordinate so it’s easer to just `use vivaldi_nc::NetworkCoordinate` - add module level docs and examples in lib.rs - cleanup README Signed-off-by: Stephen Waits <steve@waits.net>
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//! Vivaldi Network Coordinates with a simple interface
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//!
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//! Network Coordinates (NC) are a way to represent a node's position in a network's
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//! latency space. Nodes with low latency (ping or round trip time) between each
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//! other will be close to each other in this latency space. Nodes with high latency between them
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//! will be far from each other.
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//!
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//! This is an implementation of Vivaldi Network Coordinates, a specific NC
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//! algorithm, with a simple interface and few dependencies. Vivaldi coordinates
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//! are typically used in distributed networking applications, like p2p networks.
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//! They allow each node in the network to estimate its position in a latency space
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//! in a distributed way, with no central authority. This enables nodes to
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//! understand estimated latency to any other node in the system.
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//!
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//! To learn more, see the [Vivaldi coordinates article on
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//! Wikipedia](https://en.wikipedia.org/wiki/Vivaldi_coordinates) or [the original
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//! paper](http://conferences.sigcomm.org/sigcomm/2004/papers/p426-dabek111111.pdf) (Frank Dabek,
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//! Russ Cox, Frans Kaashoek, Robert Morris (2004)).
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//!
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//! # Usage
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//!
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//! This crate exports a single struct, [`NetworkCoordinate`]. Typical use of Vivaldi NCs for a
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//! distributed network works like this:
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//!
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//! 1. Each node in the network has its own instance of [`NetworkCoordinate`]. *See "Note on
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//! dimensionality" below.*
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//! 2. Every node occasionally sends its [`NetworkCoordinate`] to some or all other nodes through
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//! the network overlay.
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//! 3. Whenever a node receives a remote coordinate, it updates its local coordinate with the
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//! actual measured round trip time (RTT or "ping time") between itself and that node to improve
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//! its own position and thus reduce its estimation error.
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//! 4. Any node can estimate its RTT to any other [`NetworkCoordinate`] it's aware of.
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//!
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//! Importantly, all updates in this system are performed locally. No central authority is needed
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//! to build the network latency maps. It's fully distributed.
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//!
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//! **Note on dimensionality:** Typically 2D or 3D Vivaldi coordinates (i.e. `NetworkCoordinate<2>` or
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//! `NetworkCoordinate<3>`) are sufficient. Higher dimensions don't add much accuracy and aren't
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//! generally worth it. That said, you're welcome to use any dimension you like.
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//!
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//! # Examples
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//!
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//! In the first example, we simulate receving a remote NC, measuring ping, and updating our NC
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//! accordingly.
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//!
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//! ```
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//! use vivaldi_nc::NetworkCoordinate;
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//!
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//! // create our local NC as a 3-dimensional Vivaldi coordinate
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//! let mut my_nc = NetworkCoordinate::<3>::new();
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//!
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//! // mock up a remote NC for the sake of this example (normally the node would actually receive
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//! // this from a remote node)
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//! let received_msg = "{\"position\":[{\"inner\":[1.5,0.5,2.0]},0.1],\"error\":1.0}";
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//! let remote_nc: NetworkCoordinate<3> = serde_json::from_str(received_msg).unwrap();
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//!
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//! // mock up a measured RTT between us and that node (normally the nodes would coordinate
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//! // measuring this together)
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//! let rtt_actual = std::time::Duration::from_millis(78);
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//!
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//! // with the actual RTT in hand, we can update our NC to improve its accuracy
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//! my_nc.update(&remote_nc, rtt_actual);
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//!
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//! // by doing this iteratively (and forever), all NCs in the network will converge to better
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//! // represent the actual latency space of the network
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//! ```
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//!
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//! In this second example, we simulate receving a NC from another node indirectly; likely
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//! forwarded to us by someone else. And in this case, we aren't measuring the actual RTT. Instead,
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//! we're using the NCs to estimate RTT.
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//!
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//! ```
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//! use vivaldi_nc::NetworkCoordinate;
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//!
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//! // create our local NC as a 3-dimensional Vivaldi coordinate
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//! let mut my_nc = NetworkCoordinate::<3>::new();
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//!
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//! // mock up a remote NC for the sake of this example (normally the node would actually receive
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//! // this from a remote node)
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//! let received_msg = "{\"position\":[{\"inner\":[1.5,0.5,2.0]},0.1],\"error\":1.0}";
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//! let remote_nc: NetworkCoordinate<3> = serde_json::from_str(received_msg).unwrap();
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//!
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//! // estimate the RTT to this remote node without measuring it directly
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//! let rtt_estimated = my_nc.estimated_rtt(&remote_nc);
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//!
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//! // so with just the knowledge of another NC, we can get reasonably good estimates of RTT
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//! // without actually needing to measure it
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//! ```
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//!
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mod height_vector;
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mod vector;
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// publish our interface
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pub mod network_coordinate;
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pub use network_coordinate::NetworkCoordinate;
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@@ -65,7 +65,7 @@ impl<const N: usize> NetworkCoordinate<N> {
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/// # Example
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///
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/// ```
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/// use vivaldi_nc::network_coordinate::NetworkCoordinate;
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/// use vivaldi_nc::NetworkCoordinate;
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///
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/// // create a new 3-dimensional random NC
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/// let a: NetworkCoordinate<3> = NetworkCoordinate::new();
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@@ -93,7 +93,7 @@ impl<const N: usize> NetworkCoordinate<N> {
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/// # Example
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///
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/// ```
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/// use vivaldi_nc::network_coordinate::NetworkCoordinate;
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/// use vivaldi_nc::NetworkCoordinate;
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///
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/// // create some 2-dimensional NCs for the sake of this example. These will just be random
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/// // NCs. In a real usecase these would have meaningful values.
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@@ -125,7 +125,7 @@ impl<const N: usize> NetworkCoordinate<N> {
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///
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/// ```
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/// use std::time::Duration;
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/// use vivaldi_nc::network_coordinate::NetworkCoordinate;
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/// use vivaldi_nc::NetworkCoordinate;
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///
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/// // We always have our own NC:
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/// let mut local: NetworkCoordinate<2> = NetworkCoordinate::new();
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