README.rst 1.82 KB
Newer Older
Daniele Venzano's avatar
Daniele Venzano committed
1 2
Zoe Analytics - Container-based Analytics as a Service
======================================================
3

Daniele Venzano's avatar
Daniele Venzano committed
4
Zoe Analytics provides a simple way to provision any kind of data analytics applications.
5

Daniele Venzano's avatar
Daniele Venzano committed
6 7
This repository contains the stable version of Zoe that is pushed periodically. To follow day-to-day development, check the repository at https://gitlab.eurecom.fr/zoe/main

8 9
Resources:

10
- Website: http://zoe-analytics.eu
11
- Documentation: http://docs.zoe-analytics.eu
Daniele Venzano's avatar
Daniele Venzano committed
12
- Roadmap: https://gitlab.eurecom.fr/zoe/main/wikis/home
13
- Mailing list: http://www.freelists.org/list/zoe
Daniele Venzano's avatar
Daniele Venzano committed
14
- Issue tracker: https://gitlab.eurecom.fr/zoe/main/issues
15

16
Zoe applications (ZApps):
17

Daniele Venzano's avatar
Daniele Venzano committed
18
- Check the zapp-* repositories at: https://gitlab.eurecom.fr/zoe/
19

20
Zoe is licensed under the terms of the Apache 2.0 license.
21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46

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},
    }