Sensor data compression based on MapReduce

Author:

YU Yu,GUO Zhong-wen

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Reference18 articles.

1. Mapreduce: simplified data processing on large clusters;Dean;Communications of the ACM,2008

2. Deutsch LP. Deflate compressed data format specification version 1.3. IETF RFC 1951.1996

3. Improving LZW [data compression algorithm];Horspool,1991

4. A universal algorithm for sequential data compression;Ziv;IEEE Transactions on Information Theory,1997

5. An efficient test vector compression scheme using selective Huffman coding;Jas;IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems,2003

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1. A Hopping Umbrella for Fuzzy Joining Data Streams From IoT Devices in the Cloud and on the Edge;IEEE Transactions on Fuzzy Systems;2020-05

2. A Systematic Review of Different Data Compression Technique of Cloud Big Sensing Data;Second International Conference on Computer Networks and Communication Technologies;2020

3. A Sensor Node Lossless Compression Algorithm based on Linear Fitting Residuals Coding;Proceedings of the 10th International Conference on Computer Modeling and Simulation - ICCMS 2018;2018

4. MapReduce-based fast fuzzy c-means algorithm for large-scale underwater image segmentation;Future Generation Computer Systems;2016-12

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