Time-Efficient Advent for Diagnosing Flaws in Hadoop on the Big Sensor Type Data
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-7871-2_12
Reference12 articles.
1. Chi Yang, Chang Liu, Xuyun Zhang, Surya Nepal, and Jinjun Chen: A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud. In: IEEE Transactions on Parallel And Distributed Systems, Vol. 26, No. 2, February 2015.
2. Detecting Forest Fires using Wireless Sensor Networks, http://www.libelium.com/wireless_sensor_networks_to_detec_forest_fires/ .
3. Kechar Bouabdellah, Houache Noureddine, and Sekhri Larbi: Using Wireless Sensor Networks for Reliable Forest Fires Detection. In: Procedia Computer Science, Vol. 19, 2013, Pages 794–801.
4. Lidice Garcia Rios, and Jos’e Alberto Incera Diguez: Big Data Infrastructure for analyzing data generated by Wireless Sensor Networks. In: IEEE International Congress on Big Data, 2014–06, Pages 816–823.
5. Subhash Chandra, and Deepak Motwani: An Approach to Enhance the Performance of Hadoop MapReduce Framework for Big Data. In: International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), 2016.
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