Designing a Data Management Pipeline for Pervasive Sensor Communication Systems

Autor:	Jussi Ronkainen, Antti Iivari
Rok vydání:	2015
Předmět:	iot business.industry Visual sensor network Computer science Pipeline (computing) Data management Real-time computing Big data Volume (computing) sensors Communications system big data General Earth and Planetary Sciences business data pipeline General Environmental Science
Zdroj:	FNC/MobiSPC Ronkainen, J & Iivari, A 2015, ' Designing a Data Management Pipeline for Pervasive Sensor Communication Systems ', Procedia Computer Science, vol. 56, pp. 183-188 . https://doi.org/10.1016/j.procs.2015.07.193
ISSN:	1877-0509
Popis:	Pervasive sensor systems offer unbounded possibilities for monitoring and tracking objects, machines, and spaces. To maximize the benefit from a sensor system, sensor data requires efficient preprocessing and analysis. Big data techniques make distributed processing of huge amounts of data fast and cost-effective, making them a practical necessity for sensor data. However, the real-time requirements and the sheer velocity and volume of data from large sensor systems require a dedicated approach to designing the data processing pipeline. This paper discusses viewpoints and requirements for designing a sensor data pipeline, with specific focus on data input, live preprocessing, and storage.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca0ecc8b4aaa774b757ea0912191d282 https://doi.org/10.1016/j.procs.2015.07.193 Zobrazit plný text záznamu