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A CONCEPTUAL FRAMEWORK FOR ADAPTABILITY IN DIGITAL ECOSYSTEMS
Abstract
Digital ecosystems represent a new technology capable of interconnecting heterogeneous, cross-domain platforms, able to drive innovation in different industries, enabling us to connect and operate with a wide range of actors, customers, partners, companies. Digital ecosystems can be considered as socio-technical clusters of adaptive applications with different levels of context awareness, adaptability and autonomicity. The adaptive properties of an organism are closely related to the self-organizing property and the emergence phenomenon. The system continuously assesses its own state and its running context and takes decisions that adjust the state of the system towards the established goal. Applications from a digital ecosystem must solve concrete problems but have to be computationally efficient, it will have to find a balance between the freedom of a system to self-adapt and the constraints that apply to obtain a correct functionality. The present article proposes a set of architectural solutions for the implementation of adaptation layers in digital species populating a digital ecosystem. An evaluation of the proposed model is presented in the final part of the article.
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