Diversity: A Heuristic to Improve Robustness of Self-Adaptive Cloud Architectures
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.
Academic chapter/article/Conference paper
- Franck Chauvel
- Hui Song
- Franck Fleurey
- SINTEF Digital / Sustainable Communication Technologies
8th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2015, Limassol, Cyprus, December 7-10, 2015.
132 - 141