Streaming of Global Navigation Satellite System Data from the Global System of Navigation
| Autor: | Liliana Ibeth Barbosa-Santillán, Zhan Gao, Julio César Roa-Gil, Juan Jaime Sánchez-Escobar, Amilcar Meneses-Viveros, Gabriel A. León-Paredes, Luis Francisco Barbosa-Santillán |
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| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
General Computer Science business.industry Computer science Real-time computing Big data 0211 other engineering and technologies Unstructured data Satellite system 02 engineering and technology 01 natural sciences symbols.namesake Data access GNSS applications Global Positioning System Galileo (satellite navigation) symbols GLONASS business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 12 |
| ISSN: | 2156-5570 2158-107X |
| Popis: | The Big Data phenomenon has driven a revolution in data and has provided competitive advantages in business and science domains through data analysis. By Big Data, we mean the large volumes of information generated at high speeds from various information sources, including social networks, sensors for multiple devices, and satellites. One of the main problems in real applications is the extraction of accurate information from large volumes of unstructured data in the streaming process. Here, we extract information from data obtained from the GLONASS satellite navigation system. The knowledge acquired in the discovery of geolocation of an object has been essential to the satellite systems. However, many of these findings have suffered changes as error vocalizations and many data. The Global Navigation Satellite System (GNSS) combines several existing navigation and geospatial positioning systems, including the Global Positioning System, GLONASS, and Galileo. We focus on GLONASS because it has a constellation with 31 satellites. Our research’s difficulties are: (a) to handle the amount of data that GLONASS produces efficiently and (b) to accelerate data pipeline with parallelization and dynamic access to data because these have only structured one part. This work’s main contribution is the Streaming of GNSS Data from the GLONASS Satellite Navigation System for GNSS data processing and dynamic management of meta-data. We achieve a three-fold improvement in performance when the program is running with 8 and 10 threads. |
| Databáze: | OpenAIRE |
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