s/avalanche/turbine (#4561)

* s/avalanche/turbine/g
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anatoly yakovenko 2019-06-06 12:48:40 -07:00 committed by GitHub
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8 changed files with 9 additions and 9 deletions

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@ -45,7 +45,7 @@ The upsides compared to guards:
* The timeout is not fixed.
* The timeout is local to the leader, and therefore can be clever. The leader's
heuristic can take into account avalanche performance.
heuristic can take into account turbine performance.
* This design doesn't require a ledger hard fork to update.

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@ -48,7 +48,7 @@ specific parameters will be necessary:
Solana's trustless sense of time and ordering provided by its PoH data
structure, along with its
[avalanche](https://www.youtube.com/watch?v=qt_gDRXHrHQ&t=1s) data broadcast
[turbine](https://www.youtube.com/watch?v=qt_gDRXHrHQ&t=1s) data broadcast
and transmission design, should provide sub-second transaction confirmation times that scale
with the log of the number of nodes in the cluster. This means we shouldn't
have to restrict the number of validating nodes with a prohibitive 'minimum

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@ -87,7 +87,7 @@ pub struct ClusterInfo {
pub struct Locality {
/// The bounds of the neighborhood represented by this locality
pub neighbor_bounds: (usize, usize),
/// The `avalanche` layer this locality is in
/// The `turbine` layer this locality is in
pub layer_ix: usize,
/// The bounds of the current layer
pub layer_bounds: (usize, usize),
@ -1414,7 +1414,7 @@ impl ClusterInfo {
}
}
/// Avalanche logic
/// Turbine logic
/// 1 - For the current node find out if it is in layer 1
/// 1.1 - If yes, then broadcast to all layer 1 nodes
/// 1 - using the layer 1 index, broadcast to all layer 2 nodes assuming you know neighborhood size

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@ -126,7 +126,7 @@ fn run_simulation(stakes: &[u64], fanout: usize) {
assert!(!batches.is_empty());
// start avalanche simulation
// start turbine simulation
let now = Instant::now();
batches.par_iter_mut().for_each(|batch| {
let mut cluster = c_info.clone();