Difference between revisions of "Meteos/Architecture"
< Meteos
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| − | == | + | == Architecture == |
Meteos consist of meteos-api service and meteos-engine service. | Meteos consist of meteos-api service and meteos-engine service. | ||
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* meteos-engine - service which manage Meteos resources. | * meteos-engine - service which manage Meteos resources. | ||
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| + | === Resource === | ||
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| + | Meteos manages these resources regarding machine learning. | ||
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| + | * Experiment Template - Template which define experiment (e.g. number of master/worker nodes, spark version, base VM image, flavor, network, ...) | ||
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| + | * Experiment - a workspace of Machine Learning | ||
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| + | * Data Set - a data parsed by user to create a Prediction Model | ||
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| + | * Prediction Model - a model produced by data mining and machine learning algorithms. [[https://wiki.openstack.org/wiki/Meteos/Models Supported Prediction Models]] | ||
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| + | * Learning Job - a job which consists of input data, output data(predicted data), job status, job stdout/stderr. | ||
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[[File:Meteos-architecture.png]] | [[File:Meteos-architecture.png]] | ||
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
- 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.
