Distributed Processing from Large Scale Sensor Network Using Hadoop

Author

de Fatima Pereira, Rosangela ; Risse de Andrade, Marcelo ; Carvalho Zucchi, Artur ; Langona, Karen ; Akio Goya, Walter ; Mimura Gonzalez, Nelson ; Melo Brito de Carvalho, Tereza Cristina ; Mangs, Jan-Erik ; Sefidcon, Azimeh

Author_Institution

Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil

fYear

2013

fDate

June 27 2013-July 2 2013

Firstpage

417

Lastpage

418

Abstract

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.

Keywords

agriculture; climatology; cloud computing; decision making; geophysics computing; very large databases; wireless sensor networks; Hadoop framework; agricultural production; climate data; climate related data sets; cloud computing infrastructure; decision making process; distributed processing; large data sets; large scale sensor network; sensor network data; Cloud computing; Computer architecture; Decision making; Distributed databases; Distributed processing; Meteorology; Portals; Hadoop; cloud computing; sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Big Data (BigData Congress), 2013 IEEE International Congress on

Conference_Location

Santa Clara, CA

Print_ISBN

978-0-7695-5006-0

Type

conf

DOI

10.1109/BigData.Congress.2013.64

Filename

6597168