Tachyon - Fault Tolerant Distributed File System with 300 Times Higher Throughput than HDFS

Tachyon  (github) is interesting new filesystem brought to by the folks at the UC Berkeley AMP Lab:

Tachyon is a fault tolerant distributed file system enabling reliable file sharing at memory-speed across cluster frameworks, such as Spark and MapReduce.It offers up to 300 times higher throughput than HDFS, by leveraging lineage information and using memory aggressively. Tachyon caches working set files in memory, and enables different jobs/queries and frameworks to access cached files at memory speed. Thus, Tachyon avoids going to disk to load datasets that is frequently read.

It has a Java-like File API, native support for raw tables, a pluggable file system, and it works with Hadoop with no modifications.

 

It might work well for streaming media too as you wouldn't have to wait for the complete file to hit the disk before rendering.

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Beta testers wanted for ultra high-scalability/performance clustered object storage system designed for web content delivery

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Product: ChironFS

If you are trying to create highly available file systems, especially across data centers, then ChironFS is one potential solution. It's relatively new, so there aren't lots of experience reports, but it looks worth considering. What is ChironFS and how does it work? Adapted from the ChironFS website: The Chiron Filesystem is a Fuse based filesystem that frees you from single points of failure. It's main purpose is to guarantee filesystem availability using replication. But it isn't a RAID implementation. RAID replicates DEVICES not FILESYSTEMS. Why not just use RAID over some network block device? Because it is a block device and if one server mounts that device in RW mode, no other server will be able to mount it in RW mode. Any real network may have many servers and offer a variety of services. Keeping everything running can become a real nightmare!

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