| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 7 | |
| Section | T1 - Online computing | |
| DOI | https://doi.org/10.1051/epjconf/201921401011 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921401011
DDS: The Dynamic Deployment System
GSI Helmholtzzentrum für Schwerionenforschung GmbH,
Darmstadt,
Germany
* e-mail: andrey.lebedev@gsi.de
** e-mail: a.manafov@gsi.de
Published online: 17 September 2019
The Dynamic Deployment System (DDS) [1, 2] is a tool-set that automates and significantly simplifies the deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given topology. DDS is a part of the ALFA framework [3].
DDS implements a single responsibility principle command line tool-set and API. The system treats users’ taskas a black box – it can be an executable or a script. It also provides a watchdogging and a rule-based execution of tasks. DDS implements a plug-in system to abstract the execution of the topology from RMS. Additionally it ships an SSH and a localhost plug-ins which can be used when no RMS is available. DDS doesn’t require pre-installation and pre-configuration on the worker nodes. It deploys private facilities on demand with isolated sandboxes.The system provides a key-value property propagation engine. That engine can be used to configure tasks at runtime. DDS also provides a lightweight API for tasks to exchange messages, so-called, custom commands.
In this report a detailed description, current status and future development plans of the DDS will be highlighted.
© The Authors, published by EDP Sciences, 2019
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.
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