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Using MapReduce for Data Processing in the Cloud for Forest Pest Control

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4 Author(s)
Shaocan Jiang ; Sch. of Inf. Eng., Zhejiang A&F Univ., Lin''an, China ; Shen, Chaofan ; Yongjie Xiao ; Xiaoying Huang

Forest pests, fires and deforestation, are known as the three forest disasters. And the severity of forest pest infection has increased in recent decades. Therefore, it's becoming more important to have strategic approach toward forest pest control. After decades of research, we have accumulated and summed up a wealth of forest pest data. We need to process these data efficiently, and make sure that forest pest data are better service to pest control work. Here, we try to set up a platform for forest pest control which is based on cloud computing. And as a programming method in the cloud, MapReduce destines to be an ideal data processing framework in handling the huge amount of pest data. In this paper, we build up a data processing framework as one part of the cloud computing platform for forest pest control. This framework mainly includes 3 modules: HDFS stores Geo-data, HBase stores Attribute-Data, and MapReduce processes data.

Published in:

Networking and Distributed Computing (ICNDC), 2010 First International Conference on

Date of Conference:

21-24 Oct. 2010