Using MapReduce for Data Processing in the Cloud For Forest Pest Control
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, its 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.
Forest Pests Cloud Computing MapReduce Data Processing
Shaocan Jiang Chaofan Shen Yongjie Xiao Xiaoying Huang
School of Information Engineering Zhejiang A&F University Linan 311300 Zhejiang, China
国际会议
杭州
英文
324-327
2010-10-21（万方平台首次上网日期，不代表论文的发表时间）