Using Alluxio (formerly Tachyon) as a fault-tolerant pluggable optimization component to compute frameworks of JD system

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Alluxio has run in’s production environment on 100 nodes for six months. Mao Baolong, Yiran Wu, and Yupeng Fu explain how uses Alluxio to provide support for ad hoc and real-time stream computing, using Alluxio-compatible HDFS URLs and Alluxio as a pluggable optimization component. To give just one example, one framework, JDPresto, has seen a 10x performance improvement on average. This work has also extended Alluxio and enhanced the syncing between Alluxio and HDFS for consistency.

Using Alluxio to Improve the Performance and Consistency of HDFS Clusters

Alluxio is the world’s first memory-speed virtual distributed storage system that bridges applications and underlying storage systems, providing unified data access orders of magnitudes faster than existing solutions. The Hadoop Distributed File System (HDFS) is a distributed file system for storing large volumes of data. HDFS popularized the paradigm of bringing computation to data and the co-located compute and storage architecture.
In this blog, we highlight two key benefits Alluxio brings to a compute cluster co-located with HDFS.