Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 07010 | |
Number of page(s) | 8 | |
Section | T7 - Clouds, virtualisation & containers | |
DOI | https://doi.org/10.1051/epjconf/201921407010 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921407010
Merging OpenStack-based private clouds: the case of CloudVeneto.it
1
INFN –
Sezione di Padova, Via Marzolo 8,
35131 Padova,
Italy
2
INFN –
Laboratori Nazionali di Legnaro, Viale dell’Università 2,
35020 Legnaro (Padova)
Italy
3
Università di Padova, Dipartimento di Ingegneria dell’Informazione (DEI),
Via Gradenigo 6/b,
35131 Padova,
Italy
4
Università di Padova, Dipartimento di Fisica e Astronomia “Galileo Galilei”,
Via Marzolo 8,
35131 Padova,
Italy
5
Università di Padova, Dipartimento di Scienze Chimiche (DISC),
Via Marzolo 1,
35131 Padova,
Italy
Published online: 17 September 2019
The Cloud Area Padovana, deployed in 2014, is a scientific IaaS cloud, spread between two different sites: the INFN Padova Unit and the INFN Legnaro National Labs. It provides about 1100 logical cores and 50 TB of storage. The entire computing facility, owned by INFN, satisfies the computational and storage demands of more than 100 users belonging to about 30 research projects, mainly related to HEP and nuclear physics. The Padova data centre also has hosted and operated since 2015 an independent IaaS cloud managing network, storage and computing resources owned by 10 departments of the University of Padova, supporting a broader range of scientific and engineering disciplines. This infrastructure provides about 480 logical cores and 90 TB of storage and supports more than 40 research projects. These two clouds share only a limited set of ICT services and tools (mainly for configuration, monitoring and accounting), whereas their daily operations and maintenance are carried out separately by INFN and University personnel. At the end of 2017 we planned to merge the two infrastructures in order to optimise the use of resources (both human and ICT) and to avoid useless duplication of services. We discuss here how we plan to implement this integration, resulting in a single cloud infrastructure named CloudVeneto.it.
© 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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