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meteos/doc/source/architecture.rst
Sharat Sharma 560ed9022d Initial commit for meteos documentation 
Added the architecture document for meteos.

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Meteos Architecture

Meteos is Machine Learning as a Service (MLaaS) in Apache Spark. Meteos create a workspace of Machine Learning via sahara spark plugin and manage some resources and jobs regarding Machine Learning.

Meteos components

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.

Resources

Meteos manages these resources regarding machine learning.

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

The following diagram illustrates the architecture of mistral:

image