Jump to: navigation, search

Difference between revisions of "Meteos/Architecture"

(Archtecture (TBD))
(Archtecture (TBD))
 
(2 intermediate revisions by the same user not shown)
Line 1: Line 1:
== Archtecture (TBD) ==  
+
== Architecture ==  
  
 
Meteos consist of meteos-api service and meteos-engine service.
 
Meteos consist of meteos-api service and meteos-engine service.
Line 7: Line 7:
 
* meteos-engine - service which manage Meteos resources.
 
* meteos-engine - service which manage Meteos resources.
  
=== Resource (TBD) ===
+
=== Resource ===
 +
 
 +
Meteos manages these resources regarding machine learning.
  
 
* Experiment Template - Template which define experiment (e.g. number of master/worker nodes, spark version, base VM image, flavor, network, ...)
 
* Experiment Template - Template which define experiment (e.g. number of master/worker nodes, spark version, base VM image, flavor, network, ...)
Line 15: Line 17:
 
* Data Set - a data parsed by user to create a Prediction Model
 
* Data Set - a data parsed by user to create a Prediction Model
  
* Prediction Model - a model produced by data mining and machine learning algorithms  
+
* Prediction Model - a model produced by data mining and machine learning algorithms. [[https://wiki.openstack.org/wiki/Meteos/Models Supported Prediction Models]]
  
 
* Learning Job - a job which consists of input data, output data(predicted data), job status, job stdout/stderr.
 
* Learning Job - a job which consists of input data, output data(predicted data), job status, job stdout/stderr.

Latest revision as of 05:09, 9 December 2016

Architecture

Meteos consist of meteos-api service and meteos-engine service.

  • meteos-api - web service which has REST interface.
  • meteos-engine - service which manage Meteos resources.

Resource

Meteos manages these resources regarding machine learning.

  • Experiment Template - Template which define experiment (e.g. number of master/worker nodes, spark version, base VM image, flavor, network, ...)
  • Experiment - a workspace of Machine Learning
  • Data Set - a data parsed by user to create a Prediction Model
  • Learning Job - a job which consists of input data, output data(predicted data), job status, job stdout/stderr.


Meteos-architecture.png