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Overview

The Service allows to submit and publish raw observational (non-geophysical) environmental timeseries data in common standard formats (T-SOS XML and SSNO JSON) via a messaging API (EGI ARGO ) that is used to perform Near Real Time (NRT) quality control procedures by an Apache Storm NRT QC Topology, which publishes the quality controlled and labelled data via a messaging output queue.

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This science demonstrator use case aims to evaluate standardized data transmission using OGC SWE Transactional SOS (Sensor Observation Service) as a priority standard as well as using the Semantic Sensor Network (SSN) ontology. Both are implemented and tested. It will identify and implement common generic NRT QC routines suitable for multiple RIs (e.g. EMSO, EuroARGO, ANAEE, etc.) and deploy these on appropriate scalable cloud based technologies at own and/or EGI platforms.

Description

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Figure 2. Architecture of the NRT QC service

The service is based on two main cloud based components: 1) an Apache Storm  data processing unit responsible for near real time data quality control of a given real-time time series data and 2) a EGI ARGO messaging component responsible for the management and queuing of data sent from the sensor as well as for the delivery of quality controlled data.

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Unfortunately, data transmission formats used within RIs is very diverse. In general, data transmission at the sensor as well as platform level largely depends on community specific needs and habits or simply on manufacturer specifications. It is therefore difficult to offer generic, cross RI processing services in general and in particular services which allow NRT QC. It is therefore clearly advantageous for the scientific community to have access to standard supporting services. Further, such services potentially can strongly promote the use of these standards - one of the main objectives of this use case.

Link to the Demonstrator

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Youtube video is at https://youtubeyoutu.combe/watch?v=p3UQZkRRWlwheight460

Contributors

• Dr Rober Huber, University of Bremen, rhuber@uni-bremen.de
  

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