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DIVERSIFY

Ecology-inspired software diversity for distributed adaptation in CAS

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CASs are a form of complex system

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An essential property: diversity

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Challenge

•Software in CAS

•for coordination

•to provide services

•to process information

•Current software engineering techniques require

•foresee all possible adaptation situations the system will have to face

•manually develop diverse solutions5

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DIVERSIFY brings together researchers from the domains of software-intensive distributed systems and ecology in order to translate ecological concepts and processes into software design principles

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Consortium

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Ecological board

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M. Hutchings (Univ. of Sussex)

B. Kunin(Univ. of Leeds)

E. Thébault(CNRS)

C. Melian (EAWAG)

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Objective

DIVERSIFY aims at formalizing and experimenting new models and synthesis mechanisms for software diversity in collaborative adaptive systems, based on the ecological concept of biodiversity. The goal is to increase adaptive capacities in the face of structural and environmental variations.

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A scenario for diversity emergence

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WP structure

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Progress in software engineering

•Software diversity

•synthesis and spontaneous emergence of software diversity

•Dynamic adaptation

•leveraging diversity to reach specific goals

•Distributed adaptation

•models@runtime for the collaboration of heterogeneous, distributed software entities

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Expected impact - science

•Genuine ecological inspiration for distributed adaptation

•Continuous evolution and approximate correctness

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Expected impact - society

•Greater robustness of other forms of CAS

•assisted living, emergency systems, etc.

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