A Scalable Architecture for Real-Time Stream Processing of Spatiotemporal IoT Stream Data—Performance Analysis on the Example of Map Matching

A Scalable Architecture for Real-Time Stream Processing of Spatiotemporal IoT Stream Data—Performance Analysis on the Example of Map Matching

Scalable real-time processing of large amounts of data has become a research topic of particular importance due to the continuously rising amount of data that is generated by devices equipped with sensing components. While existing approaches allow for fault-tolerant and scalable stream processing,...

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Bibliographic Details
Main Authors: Marius Laska, Stefan Herle, Ralf Klamma, Jörg Blankenbach
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
stream processing
IoT
spatiotemporal
data mining
map matching
Online Access:http://www.mdpi.com/2220-9964/7/7/238

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