**No Longer Maintained** Official RAMCloud repo

TorcDB: A Low-Latency Graph Database on RAMCloud

Sqlite3 VFS driver using RAMCloud as backing store.

unofficial RAMCloud mirror

A RAMCloud-based implementation of Redis

A TinkerPop Blueprints implementation for RAMCloud

Transparent cloud storage access for bContext app. Supports Dropbox and Google Drive

C++98 version of RAMCloud's Tub.h

vNIDS Ramcloud version

FaaSCache, is a transparent, vertically and hori- zontally elastic in-memory caching system for Function as a Service platforms. The cache is distributed over the worker nodes to mitigate the overheads of frequent interactions with an external data store, as required by the stateless FaaS paradigm. FaaSCache prototype based on enhancements to the Apache OpenWhisk FaaS platform, the OpenStack Swift persistent object storage service, and the RAMCloud in-memory store.

Runs YCSB benchmarks using RAMCloud for storage

No description available

Mirror of gtest for use with RAMCloud

Contains the files required for packaging RamCloud as a deb file

Stateless fork of RAMCloud

Unofficial copy of RAMCloud repo

Scripts to allocate and setup a RAMCloud cluster on CloudLab

No description available

unofficial ramcloud repo

unofficial RAMCloud mirror

Clone of RAMCloud sources at Stanford. Used for personal research, not intended as a mirror.

RAMCloud RPC Over 10G Fabric

Client of RAMCloud Storage System

No description available

Changes to google test for RAMCloud

This project implements raft consensus algoritm explained in https://ramcloud.stanford.edu/raft.pdf

In-memory data storage systems have been proposed to keep primary data in memory to enable scalable, low-latency data access. Due to the high failure rate, most existing in-memory storage systems replicate data copies across storage servers. However, replication has a high storage overhead that could multiply the cost due to the higher cost compared to disk-based storage. There have been proposals to use erasure coding instead to have a better storage efficiency. In this project, you will install and deploy some existing in-memory data storage systems Like Replication-can be performed by Redis and RAMCloud using benchmark tools YCSB. Whereas Erasure Coding- can be performed by memEC using benchmarck YCSB. As well as we calculate the storage efficiency and performance of using these in-memory data storage systems and predict which is better in performance. Using Linux.

Internal cluster management tools for the Stanford RAMCloud development cluster

Ramcloud

A basic set of scripts to start and stop RAMCloud's coordinators and servers