EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||6|
|Section||3 - Middleware and Distributed Computing|
|Published online||16 November 2020|
DIRACOS: a cross platform solution for grid tools
CERN, Geneva 23, Switzerland
* e-mail: firstname.lastname@example.org
Published online: 16 November 2020
DIRACOS is a project aimed to provide a stable base layer of dependencies on top of which the DIRAC middleware is running. The goal was to produce a coherent environment for grid interaction and streamline the operational overhead. Historically the DIRAC dependencies were grouped in two bundles; Externals containing Python and standard binary libraries, and the LCGBundle which contained all grid-related libraries (gfal, arc, etc). Such a setup proved difficult to test and hindered agile development. DIRACOS solves the binary incompatibility that was caused by using a python version newer than the native system one (SLC6). It is spawned from a single list of required packages from where we pull all dependencies down to the level of glibc using SRPMs. With such an approach we can provide a uniform set of packages for our clients, servers, and several platforms. It is an extendible setup with a DevOps development cycle in mind. The core build functionality of DIRACOS is based on Fedora Mock. DIRACOS introduces its own grammar to handle specific cases, and it also allows patching (some SRPMs require tweaking, which the user can do by providing a diff) as well as routines for pre/post/instead actions of compilation. With this approach DIRAC was able to provide a single bundle for clients and servers that is reliable, flexible, easy to test and relatively small (250 MB). It allows for a smooth transition from SLC6 to CC7 and provides a clear roadmap for possible extensions of DIRAC to a wide variety of platforms.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.