Title :
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
fDate :
June 27 2013-July 2 2013
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;
Conference_Titel :
Big Data (BigData Congress), 2013 IEEE International Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5006-0
DOI :
10.1109/BigData.Congress.2013.74
