large-scale-data-systems
In order to safely shepherd a rocket to a circular orbit of about 100 km, it is imperative to ensure a good consistency and availability of the computing resources used to guide the rocket. One way to achieve this is to rely on a cluster of computers collaborating to guide the rocket, using distributed algorithms. Our implementation will leverage a modification of the Raft consensus algorithm
How to download and setup large-scale-data-systems
Open terminal and run command
git clone https://github.com/jhubar/large-scale-data-systems.git
git clone is used to create a copy or clone of large-scale-data-systems repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with large-scale-data-systems https://github.com/jhubar/large-scale-data-systems/archive/master.zip
Or simply clone large-scale-data-systems with SSH
[email protected]:jhubar/large-scale-data-systems.git
If you have some problems with large-scale-data-systems
You may open issue on large-scale-data-systems support forum (system) here: https://github.com/jhubar/large-scale-data-systems/issuesSimilar to large-scale-data-systems repositories
Here you may see large-scale-data-systems alternatives and analogs
etcd tikv hraftd elasticell permazen patroni rqlite atomix raft-zh_cn summitdb braft logcabin awesome-consensus tidis raft.github.io copycat finn raft-rs PySyncObj dissertation distributed-computing Mushroom raftos raft-java floyd raft xenon ra x0 verdi-raft