Generalize TestNetwork and test HoneyBadger.

This commit is contained in:
Andreas Fackler 2018-05-16 14:23:57 +02:00
parent f390b4d141
commit 4164af1702
8 changed files with 657 additions and 425 deletions

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@ -10,6 +10,7 @@ itertools = "0.7"
log = "0.4.1"
merkle = { git = "https://github.com/afck/merkle.rs", branch = "public-proof" }
protobuf = { version = "1.6.0", optional = true }
rand = "0.4.2"
reed-solomon-erasure = "3.0"
ring = "^0.12"
serde = "1.0.55"
@ -26,7 +27,6 @@ protoc-rust = { version = "1.6.0", optional = true }
crossbeam = "0.3.2"
crossbeam-channel = "0.1"
docopt = "0.8"
rand = "0.3"
[[example]]
name = "consensus-node"

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@ -9,10 +9,9 @@ use std::hash::Hash;
use agreement;
use agreement::{Agreement, AgreementMessage};
use broadcast;
use broadcast::{Broadcast, BroadcastMessage};
use fmt::HexBytes;
use messaging::{DistAlgorithm, Target, TargetedMessage};
// TODO: Make this a generic argument of `Broadcast`.
@ -65,6 +64,47 @@ pub struct CommonSubset<NodeUid: Eq + Hash + Ord> {
agreement_instances: HashMap<NodeUid, Agreement<NodeUid>>,
broadcast_results: HashMap<NodeUid, ProposedValue>,
agreement_results: HashMap<NodeUid, bool>,
messages: VecDeque<TargetedMessage<Message<NodeUid>, NodeUid>>,
output: Option<HashMap<NodeUid, ProposedValue>>,
}
impl<NodeUid: Clone + Debug + Eq + Hash + Ord> DistAlgorithm for CommonSubset<NodeUid> {
type NodeUid = NodeUid;
type Input = ProposedValue;
type Output = HashMap<NodeUid, ProposedValue>;
type Message = Message<NodeUid>;
type Error = Error;
fn input(&mut self, input: Self::Input) -> Result<(), Self::Error> {
self.send_proposed_value(input)
}
fn handle_message(
&mut self,
sender_id: &Self::NodeUid,
message: Self::Message,
) -> Result<(), Self::Error> {
match message {
Message::Broadcast(p_id, b_msg) => self.handle_broadcast(sender_id, &p_id, b_msg),
Message::Agreement(p_id, a_msg) => self.handle_agreement(sender_id, &p_id, &a_msg),
}
}
fn next_message(&mut self) -> Option<TargetedMessage<Self::Message, Self::NodeUid>> {
self.messages.pop_front()
}
fn next_output(&mut self) -> Option<Self::Output> {
self.output.take()
}
fn terminated(&self) -> bool {
self.messages.is_empty() && self.agreement_instances.values().all(Agreement::terminated)
}
fn our_id(&self) -> &Self::NodeUid {
&self.uid
}
}
impl<NodeUid: Clone + Debug + Eq + Hash + Ord> CommonSubset<NodeUid> {
@ -99,141 +139,111 @@ impl<NodeUid: Clone + Debug + Eq + Hash + Ord> CommonSubset<NodeUid> {
agreement_instances,
broadcast_results: HashMap::new(),
agreement_results: HashMap::new(),
messages: VecDeque::new(),
output: None,
})
}
/// Common Subset input message handler. It receives a value for broadcast
/// and redirects it to the corresponding broadcast instance.
pub fn send_proposed_value(
&mut self,
value: ProposedValue,
) -> Result<VecDeque<TargetedMessage<Message<NodeUid>, NodeUid>>, Error> {
pub fn send_proposed_value(&mut self, value: ProposedValue) -> Result<(), Error> {
// Upon receiving input v_i , input v_i to RBC_i. See Figure 2.
if let Some(instance) = self.broadcast_instances.get_mut(&self.uid) {
instance.input(value)?;
let uid = self.uid.clone();
Ok(instance
.message_iter()
.map(|msg| msg.map(|b_msg| Message::Broadcast(uid.clone(), b_msg)))
.collect())
self.messages.extend(
instance
.message_iter()
.map(|msg| msg.map(|b_msg| Message::Broadcast(uid.clone(), b_msg))),
);
} else {
Err(Error::NoSuchBroadcastInstance)
return Err(Error::NoSuchBroadcastInstance);
}
self.try_agreement_completion();
Ok(())
}
/// Upon delivery of v_j from RBC_j, if input has not yet been provided to
/// BA_j, then provide input 1 to BA_j. See Figure 11.
fn on_broadcast_result(&mut self, uid: &NodeUid) -> Result<Option<AgreementMessage>, Error> {
fn on_broadcast_result(&mut self, uid: &NodeUid) -> Result<(), Error> {
if let Some(agreement_instance) = self.agreement_instances.get_mut(&uid) {
if agreement_instance.accepts_input() {
Ok(Some(agreement_instance.set_input(true)?))
} else {
Ok(None)
let msg = agreement_instance.set_input(true)?;
self.messages
.push_back(Target::All.message(Message::Agreement(uid.clone(), msg)));
}
} else {
Err(Error::NoSuchBroadcastInstance)
}
}
/// Receives a message form a remote node `sender_id`, and returns an optional result of the
/// Common Subset algorithm - a set of proposed values - and a queue of messages to be sent to
/// remote nodes, or an error.
pub fn handle_message(
&mut self,
sender_id: &NodeUid,
message: Message<NodeUid>,
) -> Result<CommonSubsetOutput<NodeUid>, Error> {
match message {
Message::Broadcast(p_id, b_msg) => self.handle_broadcast(sender_id, &p_id, b_msg),
Message::Agreement(p_id, a_msg) => self.handle_agreement(sender_id, &p_id, &a_msg),
return Err(Error::NoSuchBroadcastInstance);
}
self.try_agreement_completion();
Ok(())
}
/// Receives a broadcast message from a remote node `sender_id` concerning a
/// value proposed by the node `proposer_id`. The output contains an
/// optional result of the Common Subset algorithm - a set of proposed
/// values - and a queue of messages to be sent to remote nodes, or an
/// error.
/// value proposed by the node `proposer_id`.
fn handle_broadcast(
&mut self,
sender_id: &NodeUid,
proposer_id: &NodeUid,
bmessage: BroadcastMessage,
) -> Result<CommonSubsetOutput<NodeUid>, Error> {
let mut instance_result = None;
let input_result: Result<
VecDeque<TargetedMessage<Message<NodeUid>, NodeUid>>,
Error,
> = {
if let Some(broadcast_instance) = self.broadcast_instances.get_mut(proposer_id) {
broadcast_instance.handle_message(sender_id, bmessage)?;
instance_result = broadcast_instance.next_output();
Ok(broadcast_instance
) -> Result<(), Error> {
let value;
if let Some(broadcast_instance) = self.broadcast_instances.get_mut(proposer_id) {
broadcast_instance.handle_message(sender_id, bmessage)?;
self.messages.extend(
broadcast_instance
.message_iter()
.map(|msg| msg.map(|b_msg| Message::Broadcast(proposer_id.clone(), b_msg)))
.collect())
} else {
Err(Error::NoSuchBroadcastInstance)
}
};
let mut opt_message: Option<AgreementMessage> = None;
if let Some(value) = instance_result {
self.broadcast_results.insert(proposer_id.clone(), value);
opt_message = self.on_broadcast_result(proposer_id)?;
.map(|msg| msg.map(|b_msg| Message::Broadcast(proposer_id.clone(), b_msg))),
);
value = match broadcast_instance.next_output() {
None => return Ok(()),
Some(result) => result,
};
} else {
return Err(Error::NoSuchBroadcastInstance);
}
input_result.map(|mut queue| {
if let Some(agreement_message) = opt_message {
// Append the message to agreement nodes to the common output queue.
queue.push_back(
Target::All.message(Message::Agreement(proposer_id.clone(), agreement_message)),
);
}
(None, queue)
})
self.broadcast_results.insert(proposer_id.clone(), value);
self.on_broadcast_result(proposer_id)
}
/// Receives an agreement message from a remote node `sender_id` concerning
/// a value proposed by the node `proposer_id`. The output contains an
/// optional result of the Common Subset algorithm - a set of proposed
/// values - and a queue of messages to be sent to remote nodes, or an
/// error.
/// a value proposed by the node `proposer_id`.
fn handle_agreement(
&mut self,
sender_id: &NodeUid,
proposer_id: &NodeUid,
amessage: &AgreementMessage,
) -> Result<CommonSubsetOutput<NodeUid>, Error> {
// The result defaults to error.
let mut result = Err(Error::NoSuchAgreementInstance);
) -> Result<(), Error> {
let input_result;
// Send the message to the local instance of Agreement
if let Some(agreement_instance) = self.agreement_instances.get_mut(proposer_id) {
// Optional output of agreement and outgoing agreement
// messages to remote nodes.
result = if agreement_instance.terminated() {
if agreement_instance.terminated() {
// This instance has terminated and does not accept input.
Ok((None, VecDeque::new()))
} else {
// Send the message to the agreement instance.
agreement_instance
.handle_agreement_message(sender_id, &amessage)
.map_err(Error::from)
return Ok(());
}
// Send the message to the agreement instance.
let (opt_output, msgs) =
agreement_instance.handle_agreement_message(sender_id, &amessage)?;
self.messages.extend(
msgs.into_iter().map(|a_msg| {
Target::All.message(Message::Agreement(proposer_id.clone(), a_msg))
}),
);
input_result = opt_output;
} else {
debug!("Proposer {:?} does not exist.", proposer_id);
return Ok(());
}
let (output, mut outgoing) = result?;
// Process Agreement outputs.
if let Some(b) = output {
outgoing.append(&mut self.on_agreement_output(proposer_id, b)?);
if let Some(output) = input_result {
// Process Agreement outputs.
self.on_agreement_output(proposer_id, output)?;
}
// Check whether Agreement has completed.
let into_msg = |a_msg| Target::All.message(Message::Agreement(proposer_id.clone(), a_msg));
Ok((
self.try_agreement_completion(),
outgoing.into_iter().map(into_msg).collect(),
))
self.try_agreement_completion();
Ok(())
}
/// Callback to be invoked on receipt of the decision value of the Agreement
@ -242,23 +252,28 @@ impl<NodeUid: Clone + Debug + Eq + Hash + Ord> CommonSubset<NodeUid> {
&mut self,
element_proposer_id: &NodeUid,
result: bool,
) -> Result<VecDeque<AgreementMessage>, Error> {
) -> Result<(), Error> {
self.agreement_results
.insert(element_proposer_id.clone(), result);
debug!("Updated Agreement results: {:?}", self.agreement_results);
debug!(
"{:?} Updated Agreement results: {:?}",
self.uid, self.agreement_results
);
if !result || self.count_true() < self.num_nodes - self.num_faulty_nodes {
return Ok(VecDeque::new());
return Ok(());
}
// Upon delivery of value 1 from at least N f instances of BA, provide
// input 0 to each instance of BA that has not yet been provided input.
let mut outgoing = VecDeque::new();
for instance in self.agreement_instances.values_mut() {
if instance.accepts_input() {
outgoing.push_back(instance.set_input(false)?);
for agreement_instance in self.agreement_instances.values_mut() {
if agreement_instance.accepts_input() {
let msg = agreement_instance.set_input(false)?;
let uid = agreement_instance.our_id().clone();
self.messages
.push_back(Target::All.message(Message::Agreement(uid, msg)));
}
}
Ok(outgoing)
Ok(())
}
/// Returns the number of agreement instances that have decided "yes".
@ -266,42 +281,35 @@ impl<NodeUid: Clone + Debug + Eq + Hash + Ord> CommonSubset<NodeUid> {
self.agreement_results.values().filter(|v| **v).count()
}
fn try_agreement_completion(&self) -> Option<HashMap<NodeUid, ProposedValue>> {
fn try_agreement_completion(&mut self) {
// Once all instances of BA have completed, let C ⊂ [1..N] be
// the indexes of each BA that delivered 1. Wait for the output
// v_j for each RBC_j such that j∈C. Finally output j∈C v_j.
if self.agreement_instances
.values()
.all(|instance| instance.terminated())
{
debug!("All Agreement instances have terminated");
// All instances of Agreement that delivered `true` (or "1" in the paper).
let delivered_1: HashSet<&NodeUid> = self.agreement_results
.iter()
.filter(|(_, v)| **v)
.map(|(k, _)| k)
.collect();
debug!("Agreement instances that delivered 1: {:?}", delivered_1);
if self.agreement_results.len() < self.num_nodes {
return;
}
debug!("{:?} All Agreement instances have terminated", self.uid);
// All instances of Agreement that delivered `true` (or "1" in the paper).
let delivered_1: HashSet<&NodeUid> = self.agreement_results
.iter()
.filter(|(_, v)| **v)
.map(|(k, _)| k)
.collect();
debug!("Agreement instances that delivered 1: {:?}", delivered_1);
// Results of Broadcast instances in `delivered_1`
let broadcast_results: HashMap<NodeUid, ProposedValue> = self.broadcast_results
.iter()
.filter(|(k, _)| delivered_1.get(k).is_some())
.map(|(k, v)| (k.clone(), v.clone()))
.collect();
debug!(
"Broadcast results among the Agreement instances that delivered 1: {:?}",
broadcast_results
);
// Results of Broadcast instances in `delivered_1`
let broadcast_results: HashMap<NodeUid, ProposedValue> = self.broadcast_results
.iter()
.filter(|(k, _)| delivered_1.contains(k))
.map(|(k, v)| (k.clone(), v.clone()))
.collect();
if delivered_1.len() == broadcast_results.len() {
debug!("Agreement instances completed with {:?}", broadcast_results);
Some(broadcast_results)
} else {
None
if delivered_1.len() == broadcast_results.len() {
debug!("{:?} Agreement instances completed:", self.uid);
for (uid, result) in &broadcast_results {
debug!(" {:?} → {:?}", uid, HexBytes(&result));
}
} else {
None
self.output = Some(broadcast_results)
}
}
}

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@ -1,9 +1,11 @@
use std::collections::{HashSet, VecDeque};
use std::fmt::{Debug, Display};
use std::collections::btree_map::Entry;
use std::collections::{BTreeMap, BTreeSet, HashMap, HashSet, VecDeque};
use std::fmt::Debug;
use std::hash::Hash;
use std::iter;
use std::{cmp, iter};
use bincode;
use rand;
use serde::de::DeserializeOwned;
use serde::Serialize;
@ -11,15 +13,14 @@ use common_subset::{self, CommonSubset};
use messaging::{DistAlgorithm, TargetedMessage};
/// An instance of the Honey Badger Byzantine fault tolerant consensus algorithm.
pub struct HoneyBadger<T, N: Eq + Hash + Ord + Clone + Display> {
/// The buffer of transactions that have not yet been included in any batch.
pub struct HoneyBadger<T, N: Eq + Hash + Ord + Clone> {
/// The buffer of transactions that have not yet been included in any output batch.
buffer: VecDeque<T>,
/// The current epoch, i.e. the number of batches that have been output so far.
/// The earliest epoch from which we have not yet received output.
epoch: u64,
/// The Asynchronous Common Subset instance that decides which nodes' transactions to include.
// TODO: Common subset could be optimized to output before it is allowed to terminate. In that
// case, we would need to keep track of one or two previous instances, too.
common_subset: CommonSubset<N>,
/// The Asynchronous Common Subset instance that decides which nodes' transactions to include,
/// indexed by epoch.
common_subsets: BTreeMap<u64, CommonSubset<N>>,
/// This node's ID.
id: N,
/// The set of all node IDs of the participants (including ourselves).
@ -36,8 +37,8 @@ pub struct HoneyBadger<T, N: Eq + Hash + Ord + Clone + Display> {
impl<T, N> DistAlgorithm for HoneyBadger<T, N>
where
T: Ord + Serialize + DeserializeOwned,
N: Eq + Hash + Ord + Clone + Display + Debug,
T: Ord + Serialize + DeserializeOwned + Debug,
N: Eq + Hash + Ord + Clone + Debug,
{
type NodeUid = N;
type Input = T;
@ -78,54 +79,75 @@ where
}
// TODO: Use a threshold encryption scheme to encrypt the proposed transactions.
// TODO: We only contribute a proposal to the next round once we have `batch_size` buffered
// transactions. This should be more configurable: `min_batch_size`, `max_batch_size` and maybe a
// timeout? The paper assumes that all nodes will often have more or less the same set of
// transactions in the buffer; if the sets are disjoint on average, we can just send our whole
// buffer instead of 1/n of it.
impl<T, N> HoneyBadger<T, N>
where
T: Ord + Serialize + DeserializeOwned,
N: Eq + Hash + Ord + Clone + Display + Debug,
T: Ord + Serialize + DeserializeOwned + Debug,
N: Eq + Hash + Ord + Clone + Debug,
{
/// Returns a new Honey Badger instance with the given parameters, starting at epoch `0`.
pub fn new<I>(id: N, all_uids_iter: I, batch_size: usize) -> Result<Self, Error>
pub fn new<I, TI>(id: N, all_uids_iter: I, batch_size: usize, txs: TI) -> Result<Self, Error>
where
I: IntoIterator<Item = N>,
TI: IntoIterator<Item = T>,
{
let all_uids: HashSet<N> = all_uids_iter.into_iter().collect();
if !all_uids.contains(&id) {
return Err(Error::OwnIdMissing);
}
Ok(HoneyBadger {
buffer: VecDeque::new(),
let mut honey_badger = HoneyBadger {
buffer: txs.into_iter().collect(),
epoch: 0,
common_subset: CommonSubset::new(id.clone(), &all_uids)?,
common_subsets: BTreeMap::new(),
id,
batch_size,
all_uids,
messages: VecDeque::new(),
output: VecDeque::new(),
})
};
honey_badger.propose()?;
Ok(honey_badger)
}
/// Adds transactions into the buffer.
pub fn add_transactions<I>(&mut self, txs: I) -> Result<(), Error>
where
I: IntoIterator<Item = T>,
{
pub fn add_transactions<I: IntoIterator<Item = T>>(&mut self, txs: I) -> Result<(), Error> {
self.buffer.extend(txs);
if self.buffer.len() < self.batch_size {
return Ok(());
}
let share = bincode::serialize(&self.buffer)?;
for targeted_msg in self.common_subset.send_proposed_value(share)? {
let msg = targeted_msg.map(|cs_msg| Message::CommonSubset(self.epoch, cs_msg));
Ok(())
}
/// Proposes a new batch in the current epoch.
fn propose(&mut self) -> Result<(), Error> {
let proposal = self.choose_transactions()?;
let cs = match self.common_subsets.entry(self.epoch) {
Entry::Occupied(entry) => entry.into_mut(),
Entry::Vacant(entry) => {
entry.insert(CommonSubset::new(self.id.clone(), &self.all_uids)?)
}
};
cs.input(proposal)?;
for targeted_msg in cs.message_iter() {
let epoch = self.epoch;
let msg = targeted_msg.map(|cs_msg| Message::CommonSubset(epoch, cs_msg));
self.messages.push_back(msg);
}
Ok(())
}
/// Returns a random choice of `batch_size / all_uids.len()` buffered transactions, and
/// serializes them.
fn choose_transactions(&self) -> Result<Vec<u8>, Error> {
let mut rng = rand::thread_rng();
let amount = cmp::max(1, self.batch_size / self.all_uids.len());
let sample = match rand::seq::sample_iter(&mut rng, &self.buffer, amount) {
Ok(choice) => choice,
Err(choice) => choice, // Fewer than `amount` were available, which is fine.
};
debug!(
"{:?} Proposing in epoch {}: {:?}",
self.id, self.epoch, sample
);
Ok(bincode::serialize(&sample)?)
}
/// Handles a message for the common subset sub-algorithm.
fn handle_common_subset_message(
&mut self,
@ -133,47 +155,96 @@ where
epoch: u64,
message: common_subset::Message<N>,
) -> Result<(), Error> {
if epoch != self.epoch {
// TODO: Do we need to cache messages for future epochs?
return Ok(());
{
// Borrow the instance for `epoch`, or create it.
let cs = match self.common_subsets.entry(epoch) {
Entry::Occupied(entry) => entry.into_mut(),
Entry::Vacant(entry) => {
if epoch < self.epoch {
return Ok(()); // Epoch has already terminated. Message is obsolete.
} else {
entry.insert(CommonSubset::new(self.id.clone(), &self.all_uids)?)
}
}
};
// Handle the message and put the outgoing messages into the queue.
cs.handle_message(sender_id, message)?;
for targeted_msg in cs.message_iter() {
let msg = targeted_msg.map(|cs_msg| Message::CommonSubset(epoch, cs_msg));
self.messages.push_back(msg);
}
}
let (cs_out, cs_msgs) = self.common_subset.handle_message(sender_id, message)?;
for targeted_msg in cs_msgs {
let msg = targeted_msg.map(|cs_msg| Message::CommonSubset(epoch, cs_msg));
self.messages.push_back(msg);
// If this is the current epoch, the message could cause a new output.
if epoch == self.epoch {
self.process_output()?;
}
// FIXME: Handle the node IDs in `ser_batches`.
let batches: Vec<Vec<T>> = if let Some(ser_batches) = cs_out {
ser_batches
.values()
.map(|ser_batch| bincode::deserialize(&ser_batch))
.collect::<Result<_, _>>()?
} else {
return Ok(());
};
let mut transactions: Vec<T> = batches.into_iter().flat_map(|txs| txs).collect();
transactions.sort();
self.epoch += 1;
self.common_subset = CommonSubset::new(self.id.clone(), &self.all_uids)?;
self.add_transactions(None)?;
self.output.push_back(Batch {
epoch,
transactions,
});
self.remove_terminated(epoch);
Ok(())
}
/// Checks whether the current epoch has output, and if it does, advances the epoch and
/// proposes a new batch.
fn process_output(&mut self) -> Result<(), Error> {
let old_epoch = self.epoch;
while let Some(ser_batches) = self.take_current_output() {
// Deserialize the output.
let transactions: BTreeSet<T> = ser_batches
.into_iter()
.map(|(_, ser_batch)| bincode::deserialize::<Vec<T>>(&ser_batch))
.collect::<Result<Vec<Vec<T>>, _>>()?
.into_iter()
.flat_map(|txs| txs)
.collect();
// Remove the output transactions from our buffer.
self.buffer.retain(|tx| !transactions.contains(tx));
debug!(
"{:?} Epoch {} output {:?}",
self.id, self.epoch, transactions
);
// Queue the output and advance the epoch.
self.output.push_back(Batch {
epoch: self.epoch,
transactions,
});
self.epoch += 1;
}
// If we have moved to a new epoch, propose a new batch of transactions.
if self.epoch > old_epoch {
self.propose()?;
}
Ok(())
}
/// Returns the output of the current epoch's `CommonSubset` instance, if any.
fn take_current_output(&mut self) -> Option<HashMap<N, Vec<u8>>> {
self.common_subsets
.get_mut(&self.epoch)
.and_then(CommonSubset::next_output)
}
/// Removes all `CommonSubset` instances from _past_ epochs that have terminated.
fn remove_terminated(&mut self, from_epoch: u64) {
for epoch in from_epoch..self.epoch {
if self.common_subsets
.get(&epoch)
.map_or(false, CommonSubset::terminated)
{
debug!("{:?} Epoch {} has terminated.", self.id, epoch);
self.common_subsets.remove(&epoch);
}
}
}
}
/// A batch of transactions the algorithm has output.
pub struct Batch<T> {
pub epoch: u64,
pub transactions: Vec<T>,
pub transactions: BTreeSet<T>,
}
/// A message sent to or received from another node's Honey Badger instance.
#[cfg_attr(feature = "serialization-serde", derive(Serialize))]
#[derive(Debug)]
#[derive(Debug, Clone)]
pub enum Message<N> {
/// A message belonging to the common subset algorithm in the given epoch.
CommonSubset(u64, common_subset::Message<N>),

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@ -12,6 +12,7 @@ extern crate itertools;
extern crate merkle;
#[cfg(feature = "serialization-protobuf")]
extern crate protobuf;
extern crate rand;
extern crate reed_solomon_erasure;
extern crate ring;
extern crate serde;
@ -22,10 +23,10 @@ extern crate serde_derive;
pub mod agreement;
pub mod broadcast;
pub mod common_subset;
mod fmt;
pub mod honey_badger;
pub mod messaging;
#[cfg(feature = "serialization-protobuf")]
pub mod proto;
#[cfg(feature = "serialization-protobuf")]
pub mod proto_io;
mod fmt;

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@ -4,135 +4,18 @@ extern crate hbbft;
#[macro_use]
extern crate log;
extern crate env_logger;
extern crate merkle;
extern crate rand;
mod network;
use std::collections::{BTreeMap, BTreeSet};
use std::iter;
use rand::Rng;
use std::collections::{BTreeMap, BTreeSet, VecDeque};
use std::{fmt, iter};
use hbbft::broadcast::{Broadcast, BroadcastMessage};
use hbbft::messaging::{DistAlgorithm, Target, TargetedMessage};
#[derive(Eq, PartialEq, Ord, PartialOrd, Hash, Debug, Clone, Copy)]
struct NodeUid(usize);
type ProposedValue = Vec<u8>;
/// A "node" running a broadcast instance.
struct TestNode<D: DistAlgorithm> {
/// This node's own ID.
id: D::NodeUid,
/// The instance of the broadcast algorithm.
algo: D,
/// Incoming messages from other nodes that this node has not yet handled.
queue: VecDeque<(D::NodeUid, D::Message)>,
/// The values this node has output so far.
outputs: Vec<D::Output>,
}
impl<D: DistAlgorithm> TestNode<D> {
/// Creates a new test node with the given broadcast instance.
fn new(algo: D) -> TestNode<D> {
TestNode {
id: algo.our_id().clone(),
algo,
queue: VecDeque::new(),
outputs: Vec::new(),
}
}
/// Handles the first message in the node's queue.
fn handle_message(&mut self) {
let (from_id, msg) = self.queue.pop_front().expect("message not found");
debug!("Handling {:?} -> {:?}: {:?}", from_id, self.id, msg);
self.algo
.handle_message(&from_id, msg)
.expect("handling message");
self.outputs.extend(self.algo.output_iter());
}
/// Inputs a value into the instance.
fn input(&mut self, input: D::Input) {
self.algo.input(input).expect("input");
self.outputs.extend(self.algo.output_iter());
}
}
/// A strategy for picking the next good node to handle a message.
enum MessageScheduler {
/// Picks a random node.
Random,
/// Picks the first non-idle node.
First,
}
impl MessageScheduler {
/// Chooses a node to be the next one to handle a message.
fn pick_node<D: DistAlgorithm>(&self, nodes: &BTreeMap<D::NodeUid, TestNode<D>>) -> D::NodeUid {
match *self {
MessageScheduler::First => nodes
.iter()
.find(|(_, node)| !node.queue.is_empty())
.map(|(id, _)| id.clone())
.expect("no more messages in queue"),
MessageScheduler::Random => {
let ids: Vec<D::NodeUid> = nodes
.iter()
.filter(|(_, node)| !node.queue.is_empty())
.map(|(id, _)| id.clone())
.collect();
rand::thread_rng()
.choose(&ids)
.expect("no more messages in queue")
.clone()
}
}
}
}
type MessageWithSender<D> = (
<D as DistAlgorithm>::NodeUid,
TargetedMessage<<D as DistAlgorithm>::Message, <D as DistAlgorithm>::NodeUid>,
);
/// An adversary that can control a set of nodes and pick the next good node to receive a message.
trait Adversary<D: DistAlgorithm> {
/// Chooses a node to be the next one to handle a message.
fn pick_node(&self, nodes: &BTreeMap<D::NodeUid, TestNode<D>>) -> D::NodeUid;
/// Adds a message sent to one of the adversary's nodes.
fn push_message(&mut self, sender_id: D::NodeUid, msg: TargetedMessage<D::Message, D::NodeUid>);
/// Produces a list of messages to be sent from the adversary's nodes.
fn step(&mut self) -> Vec<MessageWithSender<D>>;
}
/// An adversary whose nodes never send any messages.
struct SilentAdversary {
scheduler: MessageScheduler,
}
impl SilentAdversary {
/// Creates a new silent adversary with the given message scheduler.
fn new(scheduler: MessageScheduler) -> SilentAdversary {
SilentAdversary { scheduler }
}
}
impl<D: DistAlgorithm> Adversary<D> for SilentAdversary {
fn pick_node(&self, nodes: &BTreeMap<D::NodeUid, TestNode<D>>) -> D::NodeUid {
self.scheduler.pick_node(nodes)
}
fn push_message(&mut self, _: D::NodeUid, _: TargetedMessage<D::Message, D::NodeUid>) {
// All messages are ignored.
}
fn step(&mut self) -> Vec<MessageWithSender<D>> {
vec![] // No messages are sent.
}
}
use hbbft::messaging::{DistAlgorithm, TargetedMessage};
use network::{Adversary, MessageScheduler, NodeUid, SilentAdversary, TestNetwork, TestNode};
/// An adversary that inputs an alternate value.
struct ProposeAdversary {
@ -187,99 +70,6 @@ impl Adversary<Broadcast<NodeUid>> for ProposeAdversary {
}
}
/// A collection of `TestNode`s representing a network.
struct TestNetwork<A: Adversary<D>, D: DistAlgorithm> {
nodes: BTreeMap<D::NodeUid, TestNode<D>>,
adv_nodes: BTreeSet<D::NodeUid>,
adversary: A,
}
impl<A: Adversary<Broadcast<NodeUid>>> TestNetwork<A, Broadcast<NodeUid>> {
/// Creates a new network with `good_num` good nodes, and the given `adversary` controlling
/// `adv_num` nodes.
fn new(good_num: usize, adv_num: usize, adversary: A) -> TestNetwork<A, Broadcast<NodeUid>> {
let node_ids: BTreeSet<NodeUid> = (0..(good_num + adv_num)).map(NodeUid).collect();
let new_broadcast = |id: NodeUid| {
let bc =
Broadcast::new(id, NodeUid(0), node_ids.clone()).expect("Instantiate broadcast");
(id, TestNode::new(bc))
};
let mut network = TestNetwork {
nodes: (0..good_num).map(NodeUid).map(new_broadcast).collect(),
adversary,
adv_nodes: (good_num..(good_num + adv_num)).map(NodeUid).collect(),
};
let msgs = network.adversary.step();
for (sender_id, msg) in msgs {
network.dispatch_messages(sender_id, vec![msg]);
}
network
}
/// Pushes the messages into the queues of the corresponding recipients.
fn dispatch_messages<Q>(&mut self, sender_id: NodeUid, msgs: Q)
where
Q: IntoIterator<Item = TargetedMessage<BroadcastMessage, NodeUid>> + fmt::Debug,
{
for msg in msgs {
match msg {
TargetedMessage {
target: Target::All,
ref message,
} => {
for node in self.nodes.values_mut() {
if node.id != sender_id {
node.queue.push_back((sender_id, message.clone()))
}
}
self.adversary.push_message(sender_id, msg.clone());
}
TargetedMessage {
target: Target::Node(to_id),
ref message,
} => {
if self.adv_nodes.contains(&to_id) {
self.adversary.push_message(sender_id, msg.clone());
} else {
self.nodes
.get_mut(&to_id)
.unwrap()
.queue
.push_back((sender_id, message.clone()));
}
}
}
}
}
/// Handles a queued message in a randomly selected node and returns the selected node's ID.
fn step(&mut self) -> NodeUid {
let msgs = self.adversary.step();
for (sender_id, msg) in msgs {
self.dispatch_messages(sender_id, Some(msg));
}
// Pick a random non-idle node..
let id = self.adversary.pick_node(&self.nodes);
let msgs: Vec<_> = {
let node = self.nodes.get_mut(&id).unwrap();
node.handle_message();
node.algo.message_iter().collect()
};
self.dispatch_messages(id, msgs);
id
}
/// Makes the node `proposer_id` propose a value.
fn input(&mut self, proposer_id: NodeUid, value: ProposedValue) {
let msgs: Vec<_> = {
let node = self.nodes.get_mut(&proposer_id).expect("proposer instance");
node.input(value);
node.algo.message_iter().collect()
};
self.dispatch_messages(proposer_id, msgs);
}
}
/// Broadcasts a value from node 0 and expects all good nodes to receive it.
fn test_broadcast<A: Adversary<Broadcast<NodeUid>>>(
mut network: TestNetwork<A, Broadcast<NodeUid>>,
@ -292,15 +82,19 @@ fn test_broadcast<A: Adversary<Broadcast<NodeUid>>>(
network.input(NodeUid(0), proposed_value.to_vec());
// Handle messages in random order until all nodes have output the proposed value.
while network.nodes.values().any(|node| node.outputs.is_empty()) {
while network.nodes.values().any(|node| node.outputs().is_empty()) {
let id = network.step();
if !network.nodes[&id].outputs.is_empty() {
assert_eq!(vec![proposed_value.to_vec()], network.nodes[&id].outputs);
if !network.nodes[&id].outputs().is_empty() {
assert_eq!(vec![proposed_value.to_vec()], network.nodes[&id].outputs());
debug!("Node {:?} received", id);
}
}
}
fn new_broadcast(id: NodeUid, all_ids: BTreeSet<NodeUid>) -> Broadcast<NodeUid> {
Broadcast::new(id, NodeUid(0), all_ids).expect("Instantiate broadcast")
}
fn test_broadcast_different_sizes<A, F>(new_adversary: F, proposed_value: &[u8])
where
A: Adversary<Broadcast<NodeUid>>,
@ -318,7 +112,7 @@ where
num_good_nodes, num_faulty_nodes
);
let adversary = new_adversary(num_good_nodes, num_faulty_nodes);
let network = TestNetwork::new(num_good_nodes, num_faulty_nodes, adversary);
let network = TestNetwork::new(num_good_nodes, num_faulty_nodes, adversary, new_broadcast);
test_broadcast(network, proposed_value);
}
}
@ -328,7 +122,10 @@ fn test_8_broadcast_equal_leaves_silent() {
let adversary = SilentAdversary::new(MessageScheduler::Random);
// Space is ASCII character 32. So 32 spaces will create shards that are all equal, even if the
// length of the value is inserted.
test_broadcast(TestNetwork::new(8, 0, adversary), &[b' '; 32]);
test_broadcast(
TestNetwork::new(8, 0, adversary, new_broadcast),
&[b' '; 32],
);
}
#[test]
@ -338,13 +135,13 @@ fn test_broadcast_random_delivery_silent() {
}
#[test]
fn test_broadcast_nodes_first_delivery_silent() {
fn test_broadcast_first_delivery_silent() {
let new_adversary = |_: usize, _: usize| SilentAdversary::new(MessageScheduler::First);
test_broadcast_different_sizes(new_adversary, b"Foo");
}
#[test]
fn test_broadcast_nodes_random_delivery_adv_propose() {
fn test_broadcast_random_delivery_adv_propose() {
let new_adversary = |num_good_nodes: usize, num_faulty_nodes: usize| {
let good_nodes: BTreeSet<NodeUid> = (0..num_good_nodes).map(NodeUid).collect();
let adv_nodes: BTreeSet<NodeUid> = (num_good_nodes..(num_good_nodes + num_faulty_nodes))
@ -356,7 +153,7 @@ fn test_broadcast_nodes_random_delivery_adv_propose() {
}
#[test]
fn test_broadcast_nodes_first_delivery_adv_propose() {
fn test_broadcast_first_delivery_adv_propose() {
let new_adversary = |num_good_nodes: usize, num_faulty_nodes: usize| {
let good_nodes: BTreeSet<NodeUid> = (0..num_good_nodes).map(NodeUid).collect();
let adv_nodes: BTreeSet<NodeUid> = (num_good_nodes..(num_good_nodes + num_faulty_nodes))

View File

@ -9,7 +9,7 @@ use std::collections::{BTreeMap, HashMap, HashSet, VecDeque};
use hbbft::common_subset;
use hbbft::common_subset::CommonSubset;
use hbbft::messaging::{Target, TargetedMessage};
use hbbft::messaging::{DistAlgorithm, Target, TargetedMessage};
type ProposedValue = Vec<u8>;
@ -45,9 +45,11 @@ impl TestNode {
let (sender_id, message) = self.queue
.pop_front()
.expect("popping a message off the queue");
let (output, messages) = self.cs
self.cs
.handle_message(&sender_id, message)
.expect("handling a Common Subset message");
let output = self.cs.next_output();
let messages = self.cs.message_iter().collect();
debug!("{:?} produced messages: {:?}", self.id, messages);
if let Some(ref decision) = output {
self.decision = Some(decision.clone());
@ -133,12 +135,11 @@ impl TestNetwork {
/// Make Node 0 propose a value.
fn send_proposed_value(&mut self, sender_id: NodeUid, value: ProposedValue) {
let messages = self.nodes
.get_mut(&sender_id)
.unwrap()
.cs
.send_proposed_value(value)
.expect("send proposed value");
let messages = {
let cs = &mut self.nodes.get_mut(&sender_id).unwrap().cs;
cs.send_proposed_value(value).expect("send proposed value");
cs.message_iter().collect()
};
self.dispatch_messages(sender_id, messages);
}
}
@ -149,7 +150,7 @@ fn test_common_subset(mut network: TestNetwork) -> BTreeMap<NodeUid, TestNode> {
// Pick the first node with a non-empty queue.
network.pick_node();
while network.nodes.values().any(|node| node.decision.is_none()) {
while network.nodes.values().any(|node| !node.cs.terminated()) {
let (NodeUid(id), output) = network.step();
if let Some(decision) = output {
debug!("Node {} output {:?}", id, decision);

106
tests/honey_badger.rs Normal file
View File

@ -0,0 +1,106 @@
//! Network tests for Honey Badger.
extern crate hbbft;
#[macro_use]
extern crate log;
extern crate env_logger;
extern crate rand;
mod network;
use std::collections::BTreeSet;
use std::iter;
use rand::Rng;
use hbbft::honey_badger::{self, HoneyBadger};
use network::{Adversary, MessageScheduler, NodeUid, SilentAdversary, TestNetwork, TestNode};
/// Proposes `num_txs` values and expects nodes to output and order them.
fn test_honey_badger<A>(mut network: TestNetwork<A, HoneyBadger<usize, NodeUid>>, num_txs: usize)
where
A: Adversary<HoneyBadger<usize, NodeUid>>,
{
for tx in 0..num_txs {
network.input_all(tx);
}
// Returns `true` if the node has not output all transactions yet.
// If it has, and has advanced another epoch, it clears all messages for later epochs.
let node_busy = |node: &mut TestNode<HoneyBadger<usize, NodeUid>>| {
let mut min_missing = 0;
for batch in node.outputs() {
for tx in &batch.transactions {
if *tx >= min_missing {
min_missing = tx + 1;
}
}
}
if min_missing < num_txs {
return true;
}
if node.outputs().last().unwrap().transactions.is_empty() {
let last = node.outputs().last().unwrap().epoch;
node.queue.retain(|(_, ref msg)| match msg {
honey_badger::Message::CommonSubset(e, _) => *e < last,
});
}
false
};
// Handle messages in random order until all nodes have output all transactions.
while network.nodes.values_mut().any(node_busy) {
network.step();
}
// TODO: Verify that all nodes output the same epochs.
}
fn new_honey_badger(id: NodeUid, all_ids: BTreeSet<NodeUid>) -> HoneyBadger<usize, NodeUid> {
HoneyBadger::new(id, all_ids, 12, 0..5).expect("Instantiate honey_badger")
}
fn test_honey_badger_different_sizes<A, F>(new_adversary: F, num_txs: usize)
where
A: Adversary<HoneyBadger<usize, NodeUid>>,
F: Fn(usize, usize) -> A,
{
// This returns an error in all but the first test.
let _ = env_logger::try_init();
let mut rng = rand::thread_rng();
let sizes = (4..5)
.chain(iter::once(rng.gen_range(6, 10)))
.chain(iter::once(rng.gen_range(11, 15)));
for size in sizes {
// TODO: Fix `CommonSubset` to tolerate faulty nodes.
// let num_faulty_nodes = (size - 1) / 3;
let num_faulty_nodes = 0;
let num_good_nodes = size - num_faulty_nodes;
info!(
"Network size: {} good nodes, {} faulty nodes",
num_good_nodes, num_faulty_nodes
);
let adversary = new_adversary(num_good_nodes, num_faulty_nodes);
let network = TestNetwork::new(
num_good_nodes,
num_faulty_nodes,
adversary,
new_honey_badger,
);
test_honey_badger(network, num_txs);
}
}
#[test]
fn test_honey_badger_random_delivery_silent() {
let new_adversary = |_: usize, _: usize| SilentAdversary::new(MessageScheduler::Random);
test_honey_badger_different_sizes(new_adversary, 10);
}
// TODO: This test is flaky. Debug.
#[ignore]
#[test]
fn test_honey_badger_first_delivery_silent() {
let new_adversary = |_: usize, _: usize| SilentAdversary::new(MessageScheduler::First);
test_honey_badger_different_sizes(new_adversary, 10);
}

248
tests/network/mod.rs Normal file
View File

@ -0,0 +1,248 @@
use std::collections::{BTreeMap, BTreeSet, VecDeque};
use std::fmt::Debug;
use rand::{self, Rng};
use hbbft::messaging::{DistAlgorithm, Target, TargetedMessage};
/// A node identifier. In the tests, nodes are simply numbered.
#[derive(Eq, PartialEq, Ord, PartialOrd, Hash, Debug, Clone, Copy)]
pub struct NodeUid(pub usize);
/// A "node" running an instance of the algorithm `D`.
pub struct TestNode<D: DistAlgorithm> {
/// This node's own ID.
id: D::NodeUid,
/// The instance of the broadcast algorithm.
algo: D,
/// Incoming messages from other nodes that this node has not yet handled.
pub queue: VecDeque<(D::NodeUid, D::Message)>,
/// The values this node has output so far.
outputs: Vec<D::Output>,
}
impl<D: DistAlgorithm> TestNode<D> {
/// Returns the list of outputs received by this node.
pub fn outputs(&self) -> &[D::Output] {
&self.outputs
}
/// Creates a new test node with the given broadcast instance.
fn new(mut algo: D) -> TestNode<D> {
let outputs = algo.output_iter().collect();
TestNode {
id: algo.our_id().clone(),
algo,
queue: VecDeque::new(),
outputs,
}
}
/// Handles the first message in the node's queue.
fn handle_message(&mut self) {
let (from_id, msg) = self.queue.pop_front().expect("message not found");
debug!("Handling {:?} -> {:?}: {:?}", from_id, self.id, msg);
self.algo
.handle_message(&from_id, msg)
.expect("handling message");
self.outputs.extend(self.algo.output_iter());
}
/// Inputs a value into the instance.
fn input(&mut self, input: D::Input) {
self.algo.input(input).expect("input");
self.outputs.extend(self.algo.output_iter());
}
}
/// A strategy for picking the next good node to handle a message.
pub enum MessageScheduler {
/// Picks a random node.
Random,
/// Picks the first non-idle node.
First,
}
impl MessageScheduler {
/// Chooses a node to be the next one to handle a message.
pub fn pick_node<D: DistAlgorithm>(
&self,
nodes: &BTreeMap<D::NodeUid, TestNode<D>>,
) -> D::NodeUid {
match *self {
MessageScheduler::First => nodes
.iter()
.find(|(_, node)| !node.queue.is_empty())
.map(|(id, _)| id.clone())
.expect("no more messages in queue"),
MessageScheduler::Random => {
let ids: Vec<D::NodeUid> = nodes
.iter()
.filter(|(_, node)| !node.queue.is_empty())
.map(|(id, _)| id.clone())
.collect();
rand::thread_rng()
.choose(&ids)
.expect("no more messages in queue")
.clone()
}
}
}
}
type MessageWithSender<D> = (
<D as DistAlgorithm>::NodeUid,
TargetedMessage<<D as DistAlgorithm>::Message, <D as DistAlgorithm>::NodeUid>,
);
/// An adversary that can control a set of nodes and pick the next good node to receive a message.
pub trait Adversary<D: DistAlgorithm> {
/// Chooses a node to be the next one to handle a message.
fn pick_node(&self, nodes: &BTreeMap<D::NodeUid, TestNode<D>>) -> D::NodeUid;
/// Adds a message sent to one of the adversary's nodes.
fn push_message(&mut self, sender_id: D::NodeUid, msg: TargetedMessage<D::Message, D::NodeUid>);
/// Produces a list of messages to be sent from the adversary's nodes.
fn step(&mut self) -> Vec<MessageWithSender<D>>;
}
/// An adversary whose nodes never send any messages.
pub struct SilentAdversary {
scheduler: MessageScheduler,
}
impl SilentAdversary {
/// Creates a new silent adversary with the given message scheduler.
pub fn new(scheduler: MessageScheduler) -> SilentAdversary {
SilentAdversary { scheduler }
}
}
impl<D: DistAlgorithm> Adversary<D> for SilentAdversary {
fn pick_node(&self, nodes: &BTreeMap<D::NodeUid, TestNode<D>>) -> D::NodeUid {
self.scheduler.pick_node(nodes)
}
fn push_message(&mut self, _: D::NodeUid, _: TargetedMessage<D::Message, D::NodeUid>) {
// All messages are ignored.
}
fn step(&mut self) -> Vec<MessageWithSender<D>> {
vec![] // No messages are sent.
}
}
/// A collection of `TestNode`s representing a network.
pub struct TestNetwork<A: Adversary<D>, D: DistAlgorithm> {
pub nodes: BTreeMap<D::NodeUid, TestNode<D>>,
adv_nodes: BTreeSet<D::NodeUid>,
adversary: A,
}
impl<A: Adversary<D>, D: DistAlgorithm<NodeUid = NodeUid>> TestNetwork<A, D>
where
D::Message: Clone,
{
/// Creates a new network with `good_num` good nodes, and the given `adversary` controlling
/// `adv_num` nodes.
pub fn new<F>(good_num: usize, adv_num: usize, adversary: A, new_algo: F) -> TestNetwork<A, D>
where
F: Fn(NodeUid, BTreeSet<NodeUid>) -> D,
{
let node_ids: BTreeSet<NodeUid> = (0..(good_num + adv_num)).map(NodeUid).collect();
let new_node_by_id = |id: NodeUid| (id, TestNode::new(new_algo(id, node_ids.clone())));
let mut network = TestNetwork {
nodes: (0..good_num).map(NodeUid).map(new_node_by_id).collect(),
adversary,
adv_nodes: (good_num..(good_num + adv_num)).map(NodeUid).collect(),
};
let msgs = network.adversary.step();
for (sender_id, msg) in msgs {
network.dispatch_messages(sender_id, vec![msg]);
}
let mut initial_msgs: Vec<(D::NodeUid, Vec<_>)> = Vec::new();
for (id, node) in &mut network.nodes {
initial_msgs.push((*id, node.algo.message_iter().collect()));
}
for (id, msgs) in initial_msgs {
network.dispatch_messages(id, msgs);
}
network
}
/// Pushes the messages into the queues of the corresponding recipients.
fn dispatch_messages<Q>(&mut self, sender_id: NodeUid, msgs: Q)
where
Q: IntoIterator<Item = TargetedMessage<D::Message, NodeUid>> + Debug,
{
for msg in msgs {
match msg {
TargetedMessage {
target: Target::All,
ref message,
} => {
for node in self.nodes.values_mut() {
if node.id != sender_id {
node.queue.push_back((sender_id, message.clone()))
}
}
self.adversary.push_message(sender_id, msg.clone());
}
TargetedMessage {
target: Target::Node(to_id),
ref message,
} => {
if self.adv_nodes.contains(&to_id) {
self.adversary.push_message(sender_id, msg.clone());
} else {
self.nodes
.get_mut(&to_id)
.unwrap()
.queue
.push_back((sender_id, message.clone()));
}
}
}
}
}
/// Handles a queued message in a randomly selected node and returns the selected node's ID.
pub fn step(&mut self) -> NodeUid {
let msgs = self.adversary.step();
for (sender_id, msg) in msgs {
self.dispatch_messages(sender_id, Some(msg));
}
// Pick a random non-idle node..
let id = self.adversary.pick_node(&self.nodes);
let msgs: Vec<_> = {
let node = self.nodes.get_mut(&id).unwrap();
node.handle_message();
node.algo.message_iter().collect()
};
self.dispatch_messages(id, msgs);
id
}
/// Inputs a value in node `id`.
pub fn input(&mut self, id: NodeUid, value: D::Input) {
let msgs: Vec<_> = {
let node = self.nodes.get_mut(&id).expect("proposer instance");
node.input(value);
node.algo.message_iter().collect()
};
self.dispatch_messages(id, msgs);
}
/// Inputs a value in all nodes.
#[allow(unused)] // Not used in all tests.
pub fn input_all(&mut self, value: D::Input)
where
D::Input: Clone,
{
let ids: Vec<D::NodeUid> = self.nodes.keys().cloned().collect();
for id in ids {
self.input(id, value.clone());
}
}
}