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 <https://arxiv.org/abs/1611.09528>_.

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},
}