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Abstract
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Article Information:
Design of Large-Scale Sensory Data Processing System Based on Cloud Computing
Bing Tang and Yu Wang
Corresponding Author: Bing Tang
Submitted: January 19, 2012
Accepted: February 17, 2012
Published: April 15, 2012 |
Abstract:
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In large-scale Wireless Sensor Networks (WSNs), with limited computing power and storage
capacity of sensor nodes, there is an urgent demand of high performance sensory data processing. This study
studies the interconnection of wireless sensor networks and cloud-based storage and computing infrastructure.
It proposes the idea of distributed databases to store sensory data and MapReduce programming model for
large-scale sensory data parallel processing. In our prototype of large-scale sensory data processing system,
Hadoop Distributed File System (HDFS) and HBase are used for sensory data storage, and Hadoop MapReduce
is used for data processing application execution framework. The design and implementation of this system are
described in detail. The simulation of environment temperature surveillance application is used to verify the
feasibility and reasonableness of the system, which also proves that it significantly improves the data processing
capability of WSNs.
Key words: Cloud computing, Map Reduce, sensory data processing, wireless sensor networks, , ,
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Cite this Reference:
Bing Tang and Yu Wang, . Design of Large-Scale Sensory Data Processing System Based on Cloud Computing. Research Journal of Applied Sciences, Engineering and Technology, (08): 1004-1009.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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