Accelerating Data Computation on Ceph Objects using Alluxio

Tags: , , , , , ,


In most of the distributed storage systems, the data nodes are decoupled from compute nodes. This is motivated by an improved cost efficiency, storage utilization and a mutually independent scalability of computation and storage. While this consideration is indisputable, several situations exist where moving computation close to the data brings important benefits. Whenever the stored data is to be processed for analytics purposes, all the data needs to be repeatedly moved from the storage to the compute cluster, which leads to reduced performance.

In this talk, we will present how using Alluxio computation and storage ecosystems can better interact benefiting the “bringing the data close to the code” approach. Moving away from the complete disaggregation of computation and storage, data locality can enhance the computation performance. During this talk, we will present our observations and testing results that will show important enhancements in accelerating Spark Data Analytics on Ceph Objects Storage using Alluxio.


Leonardo Militano is a senior researcher at the Service Engineering lab at the Zurich University of Applied Sciences (ZHAW), Switzerland, where he leads the cloud storage initiative. He received his Ph.D in Telecommunications Engineering in 2010 from the University of Reggio Calabria, Italy. Before joining ZHAW he was an Assistant Professor at the Mediterranea University in Italy, with interests in wireless and mobile networking.

Bin Fan is the founding engineer and VP of Open Source at Alluxio, Inc. Prior to Alluxio, he worked for Google to build the next-generation storage infrastructure. Bin received his Ph.D. in Computer Science from Carnegie Mellon University on the design and implementation of distributed systems.

Questions? Slack with the speakers, users, and many other community members!
Welcome to join Alluxio Global Online Meetup Group to attend online meetups like this!