Zoe Analytics - Container-based Analytics as a Service
Zoe Analytics provides a simple way to provision any kind of data analytics applications.
This repository is used for day-to-day, open source development, feel free to fork and contribute.
Resources:
- Website: http://zoe-analytics.eu
- Documentation: http://docs.zoe-analytics.eu
- Roadmap: https://github.com/DistributedSystemsGroup/zoe/wiki/RoadMap
- Mailing list: http://www.freelists.org/list/zoe
- Issue tracker: https://github.com/DistributedSystemsGroup/zoe/issues
- Main repo: https://gitlab.eurecom.fr/zoe/main (GitHub is a read-only mirror)
Zoe applications (ZApps):
- Check the repositories at: https://gitlab.eurecom.fr/zoe-apps/
Zoe is licensed under the terms of the Apache 2.0 license.
Research papers
If you are interested in learning more about Zoe and the underling scheduling theory, we published a paper with an experimental evaluation that show the advantages of our techniques.
The paper can be found on open access at ArXiv.
If you use Zoe Analytics for running your experiments, please do not forget to cite us:
@inproceedings{Pace:2017:FSD:3101112.3101126,
author = {Pace, Francesco and Venzano, Daniele and Carra, Damiano and Michiardi, Pietro},
title = {Flexible Scheduling of Distributed Analytic Applications},
booktitle = {Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing},
series = {CCGrid '17},
year = {2017},
isbn = {978-1-5090-6610-0},
location = {Madrid, Spain},
pages = {100--109},
numpages = {10},
url = {https://doi.org/10.1109/CCGRID.2017.52},
doi = {10.1109/CCGRID.2017.52},
acmid = {3101126},
publisher = {IEEE Press},
address = {Piscataway, NJ, USA},
}