Meteos/Architecture

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

• Prediction Model - a model produced by data mining and machine learning algorithms. [Supported Prediction Models]

• Learning Job - a job which consists of input data, output data(predicted data), job status, job stdout/stderr.