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Diversity: A Heuristic to Improve Robustness of Self-Adaptive Cloud Architectures

Abstract

In complex biological systems, the hypothesis that bio-diversity contributes to stability or robustness is an active debate. The FP7 DIVERSIFY project tests whether this hypothesis holds for software systems, and explores the use of diversity as a heuristic to increase robustness in self-adaptive architectures. Inspired by Ecology, we present here a technique to evaluate diversity of software architectures and we report preliminary investigations of its correlation with robustness. Given existing cloud-based architectures, we artificially inject predefined levels of diversity and measure the resulting robustness. In four out of our five industrial case studies, a higher diversity appeared correlated with a higher robustness.

Category

Academic chapter/article/Conference paper

Language

English

Author(s)

  • Franck Chauvel
  • Hui Song
  • Franck Fleurey

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies

Year

2015

Publisher

IEEE Press

Book

8th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2015, Limassol, Cyprus, December 7-10, 2015.

ISBN

978-0-7695-5697-0

Page(s)

132 - 141

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