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Journal of Sensors
Volume 2015 (2015), Article ID 468047, 11 pages
Research Article

A Framework for Real Time Processing of Sensor Data in the Cloud

School of Informatics and Computing and Community Grids Laboratory, Indiana University, Bloomington, IN 47408, USA

Received 17 November 2014; Accepted 7 April 2015

Academic Editor: Eduard Llobet

Copyright © 2015 Supun Kamburugamuve et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We describe IoTCloud, a platform to connect smart devices to cloud services for real time data processing and control. A device connected to IoTCloud can communicate with real time data analysis frameworks deployed in the cloud via messaging. The platform design is scalable in connecting devices as well as transferring and processing data. With IoTCloud, a user can develop real time data processing algorithms in an abstract framework without concern for the underlying details of how the data is distributed and transferred. For this platform, we primarily consider real time robotics applications such as autonomous robot navigation, where there are strict requirements on processing latency and demand for scalable processing. To demonstrate the effectiveness of the system, a robotic application is developed on top of the framework. The system and the robotics application characteristics are measured to show that data processing in central servers is feasible for real time sensor applications.