In this paper we demonstrated the architecture and test
results for a distributed sensor data collection, storage, and
analysis system. The architecture can be scaled to support
a large number of sensors and big data sizes. It can be
usedtosupportgeographicallydistributedsensorsandcollect
sensor data via a high-performance server. The test results
show that the system can execute computationally complex
data analysis algorithms and shows high performances with
big sensor data. As a result we show that, using open
source technologies, modern cloud computing and big data
frameworkscanbeutilizedforlarge-scalesensordataanalysis
requirements.