Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 07006 | |
Number of page(s) | 8 | |
Section | T7 - Clouds, virtualisation & containers | |
DOI | https://doi.org/10.1051/epjconf/201921407006 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921407006
CAOS: a tool for OpenStack accounting management
INFN -
Sezione di Padova,
Via Marzolo 8, 35131
Padova,
Italy
* e-mail:
sergio.traldi@pd.infn.it
Published online: 17 September 2019
The analysis and understanding of resources utilization in shared infrastructures, such as cloud environments, is crucial in order to provide better performance, administration and capacity planning.
The management of resource usage of the OpenStack-based cloud infrastructures hosted at INFN-Padova, the Cloud Area Padovana and the INFN-PADOVA-STACK instance of the EGI Federated cloud, started with the deployment of Ceilometer, the OpenStack component responsible for collecting and managing accounting information. However, by using Ceilometer alone we found some limiting problems related to the way it handles information: among others, the imbalance between storage and data retention requirements, and the complexity in computing custom metrics.
In this contribution we present a tool, called CAOS, which we have been implementing to overcome the aforementioned issues. CAOS collects, manages and presents the data concerning resource usage of our OpenStack-based cloud infrastructures. By gathering data from both the Ceilometer service and Open-Stack API, CAOS enables us to track resource usage at different levels (e.g. per project), in such a way that both current and past consumption ofresources can be easily determined, stored and presented.
© 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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