sp

README

SwiftPaxos: Fast Geo-Replicated State Machines

This repository contains the prototype implementation of SwiftPaxos, a new state-machine replication protocol for geo-distributed systems. SwiftPaxos is a faster Paxos without compromises. In the best case, it executes a state-machine command in two message delays (one round-trip), and three otherwise. SwiftPaxos was presented at the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24).

Installation

git clone https://github.com/provok1ng/sp.git
cd swiftpaxos
go install github.com/provok1ng/sp

Implemented protocols

Protocol	Comments
SwiftPaxos	See our NSDI'24 paper for the full details.
Paxos	The classic Paxos protocol.
N2Paxos	All-to-all variant of Paxos.
CURP	CURP implemented over N2Paxos.
Fast Paxos	Fast Paxos with uncoordinated collision recovery.
EPaxos	A corrected version of EPaxos.

This software is based on the Egalitarian Paxos code base, as well as the corrections made here.

Usage

participants

There are three types of participants: master, servers and clients. The servers and clients implement the protocol logic. The master maintains the configuration of the system.

deployment configuration

To setup a run, the participants read deployment configuration file. See aws.conf for an example of configuration file for AWS EC2.

launching a participant

Master:

swiftpaxos -run master -config conf.conf

Server:

swiftpaxos -run server -config conf.conf -alias server_name

Client:

swiftpaxos -run client -config conf.conf -alias client_name

command line options

-alias alias
    An alias of this participant
-config file
    Deployment config file (required)
-latency file
    Latency config file
-log file
    Path to the log file
-protocol protocol
    Protocol to run. Overwrites protocol field of the config file
-quorum file
    Quorum config file
-run participant
    Run a participant

See quorum.conf and latency.conf for an example of quorum and latency configuration files.

Flint

To have an idea on how different replication protocols would compare, we wrote a tool named Flint. Flint takes as input a set of AWS regions. It computes the expected latencies and estimates how the protocols perform in such a deployment.