Skip to content
A data-driven compute platform
Branch: master
Clone or download
Latest commit 4d1120a Apr 23, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
cmake Initial commit Aug 2, 2018
conf Initial implementation of FaaS tier (#71) Mar 7, 2019
dockerfiles
docs Adds docs directory and getting started info (#56) Jan 24, 2019
functions Patch (#99) Apr 22, 2019
include Adds more benchmarks, bugfixes (#101) Apr 22, 2019
k8s Adds more benchmarks, bugfixes (#101) Apr 22, 2019
kvs Patch (#99) Apr 22, 2019
scripts Enables support for multi-object causal consistency (#86) Apr 12, 2019
vendor Enables compiling with g++ via command line option Sep 18, 2018
.clang-format
.gitignore Implements function scheduling (#80) Apr 2, 2019
.travis.yml Automatically re-build Docker images (#48) Jan 25, 2019
CMakeLists.txt
LICENSE Initial commit Aug 2, 2018
README.md Fix issues links in README.md (#60) Feb 9, 2019

README.md

Fluent

Build Status codecov License

Fluent is a fully managed, data-first computation framework under development that U.C. Berkeley RISE Lab. There are two main components in Fluent.

The first is a key-value store based on prior open-source work from the RISE lab (fka Anna). The Fluent KVS is an elastic, cloud-native storage engine that uses coordination-avoiding techniques and asynchronous message passing to provide very low latency. You can find more information about running and using the Fluent KVS in the kvs directory.

The second component is a data-centric programming framework, built on top of the Anna KVS. The goal of the programming framework is to provide users a general-purpose API and runtime for executing programs on data stored in the Anna KVS. Users are able to submit arbitrary code or containers for execution, and we plan to support performance SLOs for function execution.

To get started with the full project, please see the Getting Started page. You can find the index of all the docs here.

Contributing

If you run into any issues, please open an issue and make sure to include relevant information (e.g., stack traces) as well as operating system, dependency versions, etc.

If you are looking to contribute to the project, please look at our issues list, particularly those marked as good for beginners and help wanted.

You can’t perform that action at this time.