1. Home
  2. Proceedings
  3. BIGDATA-CONGRESS
  4. BIGDATA-CONGRESS 2013
2013 IEEE International Congress on Big Data (BigData Congress)

Cloud Distributed Processing Using Trade Wind

Year: 2013, Pages: 437-438

Authors

Nelson Mimura Gonzalez, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil  
Walter Akio Goya, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil  
Karen Langona, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil  
Rosangela De Fatima Pereira, Lab. of Comput. Networks & Archit.,Universidade de Sao Paulo, Sao Paulo, Brazil  
Marcelo Risse de Andrade, Lab. of Comput. Networks & Archit.,Universidade de Sao Paulo, Sao Paulo, Brazil  
Artur Carvalho Zucchi, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil  
Tereza Cristina Melo Brito de Carvalho, Lab. of Comput. Networks & Archit.,Universidade de Sao Paulo, Sao Paulo, Brazil  
Jan-Erik Mangs, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil  
Azimeh Sefidcon, Lab. of Comput. Networks & Archit., Univ. of Sao Paulo, Sao Paulo, Brazil
Download PDF

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.
Like what you’re reading?
Already a member?
Get this article FREE with a new membership!

Related Articles