Cloud Distributed Processing Using Trade Wind

Author

Mimura Gonzalez, Nelson ; Akio Goya, Walter ; Langona, Karen ; de Fatima Pereira, Rosangela ; Risse de Andrade, Marcelo ; Carvalho Zucchi, Artur ; 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

437

Lastpage

438

Abstract

This paper presents the distributed processing feature for Trade Wind, a cloud deployment and management solution. The main objective of this research is to evaluate performance and feasibility of this feature for big data applications. A prototype has been created and tested in the calculation of monthly average temperature and humidity based on data from a public data set. Preliminary results show great improvement in terms of time reduction, speedup, and efficiency.

Keywords

cloud computing; distributed processing; big data application; cloud deployment solution; cloud distributed processing; cloud management solution; humidity calculation; temperature calculation; trade wind; Clouds; Data handling; Data storage systems; Distributed processing; Humidity; Information management; Load management; cloud computing; distributed processing;

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.2013.74

Filename

6597178