An approach for meteorological data integration and stream processing
| Autor: | Elhoussaine Ziyati, Mouad Lemoudden, Youssef Zouhairi, Mohamed Hdafa |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
Data processing SIMPLE (military communications protocol) business.industry Computer science Elementary event 05 social sciences Big data Cloud computing 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Data science Stream processing 0502 economics and business business Architectural model computer 0105 earth and related environmental sciences Data integration |
| Zdroj: | 2016 Third International Conference on Systems of Collaboration (SysCo). |
| DOI: | 10.1109/sysco.2016.7831342 |
| Popis: | Real-time big data processing is a crucial need of meteorology today. As a matter of fact, the weather is a determining factor in decision making in different areas such as air or sea transport, so acquiring knowledge of the environment in real time is a consequential question. A promising approach for big data treatment in real time is based on the concept of complex events processing CEP). The CEP aims to identify significant events in a cloud of simple and individually detectable events in real time. The meteorological variables, constituting simple event's spaces, offer significant flow of data to be processed using CEP technologies. This real-time data processing is done by phase of their integration with weather systems. This paper discusses the big data's meteorological aspects, and shows the architectural model for integration of weather data and its processing in real time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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