I presented a paper called Analysis Cloud – Running Sensor Data Analysis Programs on a Cloud Computing Infrastructure at the 3rd International Conference on Cloud Computing and Services Science (CLOSER 2013).
Sensors have been used for many years to gather information about their environment. The number of sensors connected to the internet is increasing, which has led to a growing demand of data transport and storage capacity. In addition, evermore emphasis is put on processing the data to detect anomalous situations and to identify trends. This paper presents a sensor data analysis platform that executes statistical analysis programs on a cloud computing infrastructure. Compared to existing batch and stream processing platforms, it adds the notion of simulated time, i.e. time that differs from the actual, current time. Moreover, it adds the ability to dynamically schedule the analysis programs based on a single timestamp, recurring schedule, or on the sensor data itself.