Characterizing E-business Workloads Using Fractal Methods

Authors

  • D. Menasc George Mason University, USA
  • B. Abrahão Universidade Federal De Minas Gerais, Brazil
  • D Barbar Departamento de Informática. PUC-Rio, Rio de Janeiro, Brazil
  • V. Almeida Universidade Federal De Minas Gerais, Brazil
  • F. Ribeiro Universidade Federal De Minas Gerais, Brazil

Keywords:

e-business, e-business workload characterization, k-means clustering, fractal dimension, fractal feature selection, fractal clustering

Abstract

Understanding the workload of Web and e-business sites is a fundamental step in sizing the IT infrastructure that supports these sites and in planning for their evolution so the Quality of Service (QoS) goals are met within cost constraints.

 

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Published

2002-07-31

How to Cite

Menasc, D. ., Abrahão, B. ., Barbar, D. ., Almeida, V. ., & Ribeiro, F. . (2002). Characterizing E-business Workloads Using Fractal Methods. Journal of Web Engineering, 1(1), 074–090. Retrieved from https://journals.riverpublishers.com/index.php/JWE/article/view/4405

Issue

2002: Vol 1 Iss 1

Section

Articles