Distributed processing from large scale sensor network using Hadoop

被引：2

作者：

Pereira, Rosangela de Fatima ^{[1
]}

de Andrade, Marcelo Risse ^{[1
]}

Zucchi, Artur Carvalho ^{[1
]}

Langona, Karen ^{[1
]}

Goya, Walter Akio ^{[1
]}

Gonzalez, Nelson Mimura ^{[1
]}

Melo Brito de Carvalho, Tereza Cristina ^{[1
]}

Mangs, Jan-Erik ^{[2
]}

Sefidcon, Azimeh ^{[2
]}

机构：

[1] Univ Sao Paulo, Escola Politecn, Lab Comp Networks & Architecture, BR-05508 Sao Paulo, Brazil

[2] Ericsson Res, Stockholm, Sweden

来源：

2013 IEEE INTERNATIONAL CONGRESS ON BIG DATA | 2013年

关键词：

sensor network; cloud computing; Hadoop;

D O I：

10.1109/BigData.Congress.2013.64

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Big data refers to large amounts of data, normally in unstructured forms, such as text, sensor data, audio, video, log files, and more. When collecting from a large number of nodes, sensor networks can produce large data sets. Climate and sensor network data are applied to assist the decision making process in agricultural production. In this paper we present the main aspects of a prototype to test Hadoop framework applied to process climate related data sets in a cloud computing infrastructure.

引用

页码：417 / +

页数：2

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