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From vinodk...@apache.org
Subject mesos git commit: Added Tachyon to the list of frameworks.
Date Sat, 16 Jan 2016 01:00:42 GMT
Repository: mesos
Updated Branches:
  refs/heads/master bcad85d3d -> c8c4901b2


Added Tachyon to the list of frameworks.

Review: https://reviews.apache.org/r/42366/


Project: http://git-wip-us.apache.org/repos/asf/mesos/repo
Commit: http://git-wip-us.apache.org/repos/asf/mesos/commit/c8c4901b
Tree: http://git-wip-us.apache.org/repos/asf/mesos/tree/c8c4901b
Diff: http://git-wip-us.apache.org/repos/asf/mesos/diff/c8c4901b

Branch: refs/heads/master
Commit: c8c4901b2d7fad7347c67a0cc155cf281c4f2c24
Parents: bcad85d
Author: Jiri Simsa <jiri.simsa@gmail.com>
Authored: Fri Jan 15 16:59:59 2016 -0800
Committer: Vinod Kone <vinodkone@gmail.com>
Committed: Fri Jan 15 16:59:59 2016 -0800

----------------------------------------------------------------------
 docs/frameworks.md | 1 +
 1 file changed, 1 insertion(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/mesos/blob/c8c4901b/docs/frameworks.md
----------------------------------------------------------------------
diff --git a/docs/frameworks.md b/docs/frameworks.md
index a69f7e9..e3d50f6 100644
--- a/docs/frameworks.md
+++ b/docs/frameworks.md
@@ -33,3 +33,4 @@ layout: documentation
 * [Cassandra](https://github.com/mesosphere/cassandra-mesos) is a performant and highly available
distributed database. Linear scalability and proven fault-tolerance on commodity hardware
or cloud infrastructure make it the perfect platform for mission-critical data.
 * [ElasticSearch](https://github.com/mesosphere/elasticsearch-mesos) is a distributed search
engine. Mesos makes it easy to run and scale.
 * [Hypertable](https://code.google.com/p/hypertable/wiki/Mesos) is a high performance, scalable,
distributed storage and processing system for structured and unstructured data.
+* [Tachyon](http://tachyon-project.org) is a memory-centric distributed storage system enabling
reliable data sharing at memory-speed across cluster frameworks.


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