Abstract
Modern data centers need distributed file systems to provide user applications with access to data stored on a large number of nodes. The ability to mount a distributed file system and leverage its native application programming interfaces in a Docker container, combined with the advanced orchestration features provided by Kubernetes, can improve flexibility in installing, monitoring and recovering data management and transfer services. At INFN-CNAF some distributed file systems (i.e. IBM Spectrum Scale, CephFS and Lustre-ZFS) deployment tests with Kubernetes and Docker have been conducted recently with positive results. The purpose of this paper is to show the throughput scores of the previously mentioned file systems when their servers are containerized and run on bare metal machines using a container orchestration framework. This is a preliminary study: for the time being, only sequential read/write tests have been considered.
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