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Journal of Sensors
Volume 2015, Article ID 468047, 11 pages
http://dx.doi.org/10.1155/2015/468047
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.

Citations to this Article [12 citations]

The following is the list of published articles that have cited the current article.

  • Dongliang Ding, Dongyue Wu, and Fuli Yu, “An overview on cloud computing platform spark for Human Genome mining,” 2016 IEEE International Conference on Mechatronics and Automation, pp. 2605–2610, . View at Publisher · View at Google Scholar
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  • Supun Kamburugamuve, Saliya Ekanayake, Milinda Pathirage, and Geoffrey Fox, “Towards High Performance Processing of Streaming Data in Large Data Centers,” 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 1637–1644, . View at Publisher · View at Google Scholar
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  • Supun Kamburugamuve, Hengjing He, Geoffrey Fox, and David Crandall, “Cloud-based Parallel Implementation of SLAM for Mobile Robots,” Proceedings of the International Conference on Internet of things and Cloud Computing - ICC '16, pp. 1–7, . View at Publisher · View at Google Scholar
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  • Osman Khalid, Muhammad Usman Shahid Khan, Ying Huang, Samee U. Khan, and Albert Zomaya, “EvacSys: A Cloud-Based Service for Emergency Evacuation,” IEEE Cloud Computing, vol. 3, no. 1, pp. 60–68, 2016. View at Publisher · View at Google Scholar
  • Supun Kamburugamuve, Wei Zhao, Hengjing He, and Geoffrey C. Fox, “Cloud based real-time multi-robot collision avoidance for swarm robotics,” International Journal of Grid and Distributed Computing, vol. 9, no. 6, pp. 339–358, 2016. View at Publisher · View at Google Scholar
  • Alfred Daniel, Karthik, Anand Paul, Newlin Rajkumar, and Seungmin Rho, “Big autonomous vehicular data classifications: Towards procuring intelligence in ITS,” Vehicular Communications, 2017. View at Publisher · View at Google Scholar
  • Sampa Sahoo, Bibhudatta Sahoo, Ashok Kumar Turuk, and Sambit Kumar Mishra, “Real Time Task Execution in Cloud Using MapReduce Framework,” Resource Management and Efficiency in Cloud Computing Environments, pp. 190–209, 2017. View at Publisher · View at Google Scholar
  • Nyasha Fadzai Thusabantu, and G. Vadivu, “Adoption of Big Data Streaming Techniques for Simultaneous Localization and Mapping (SLAM) in IoT-Aided Robotics Devices,” Cognitive Informatics and Soft Computing, vol. 768, pp. 315–320, 2018. View at Publisher · View at Google Scholar
  • Marius Laska, Stefan Herle, Ralf Klamma, and Jörg Blankenbach, “A Scalable Architecture for Real-Time Stream Processing of Spatiotemporal IoT Stream Data—Performance Analysis on the Example of Map Matching,” ISPRS International Journal of Geo-Information, vol. 7, no. 7, pp. 238, 2018. View at Publisher · View at Google Scholar