Difference between revisions of "Meteos/Architecture"
< Meteos
(→Resource (TBD)) |
(→Archtecture (TBD)) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
| − | == | + | == 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 | + | === 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, ...) | ||
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.
