Building a Generic Platform for Big Sensor Data Application

2013 IEEE International Conference on Big Data (2013)

The drive toward smart cities alongside the rising
adoption of personal sensors is leading to a torrent of sensor
data. While systems exist for storing and managing sensor
data, the real value of such data is the insight which can be
generated from it. However there is currently no platform
which enables sensor data to be taken from collection, through
use in models to produce useful data products. The
architecture of such a platform is a current research question
in the field of Big Data and Smart Cities. In this paper we
explore five key challenges in this field and provide a response
through a sensor data platform “Concinnity” which can take
sensor data from collection to final product via a data
repository and workflow system. This will enable rapid
development of applications built on sensor data using data
fusion and the integration and composition of models to form
novel workflows. We summarize the key features of our
approach, exploring how it enables value to be derived from
sensor data efficiently.