Abstract
This paper outlines cooperative big data processing engine in Internet of Things environment. Our platform splits an analytical job into two meaningful sub-jobs. First one of two sub-jobs push away from centralized points (e.g., analysis server) to the physical Internet of Things devices (e.g., embedded devices) for filtering out the inconsequential messages and achieving the best message-response possible. Second one of two sub-jobs conducts remaining parts of complicated analytic mission in traditional servers. This approach significantly decreases the data volume that must be moved, the consequent traffic. Furthermore, it can provide faster reaction in most instances.
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© 2016 Springer Science+Business Media Singapore
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Lee, YJ., Park, H.D., Min, O. (2016). Cooperative Big Data Processing Engine for Fast Reaction in Internet of Things Environment: Greater Than the Sum of Its Parts. In: Kim, K., Wattanapongsakorn, N., Joukov, N. (eds) Mobile and Wireless Technologies 2016. Lecture Notes in Electrical Engineering, vol 391. Springer, Singapore. https://doi.org/10.1007/978-981-10-1409-3_16
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DOI: https://doi.org/10.1007/978-981-10-1409-3_16
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Online ISBN: 978-981-10-1409-3
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