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Zoe Analytics - Container-based Analytics as a Service
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Zoe Analytics provides a simple way to provision any kind of data analytics applications.
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This repository is used for day-to-day, open source development, feel free to fork and contribute.
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Resources:

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- Website: http://zoe-analytics.eu
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- Documentation: http://docs.zoe-analytics.eu
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- Roadmap: https://github.com/DistributedSystemsGroup/zoe/wiki/RoadMap
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- Mailing list: http://www.freelists.org/list/zoe
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- Issue tracker: https://github.com/DistributedSystemsGroup/zoe/issues
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- Main repo: https://gitlab.eurecom.fr/zoe/main (GitHub is a read-only mirror)
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Zoe applications (ZApps):
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- Check the repositories at: https://gitlab.eurecom.fr/zoe-apps/
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Zoe is licensed under the terms of the Apache 2.0 license.
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Research papers
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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},
    }
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