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Impressive advancements in recent smart devices suggests that the direction of software engineering's future is in development of System of Systems (SoS). Among many concepts that emerged from SoS, we focus on IT Ecosystem - a type of SoS that evolves itself in response to unplanned environment changes. Maintaining autonomy of its participant systems while preserving controllability over entire ecosystem involves various challenges that we need to solve. In this paper, we propose a middleware framework for supporting global adaptation of IT Ecosystem which guides how to determine the optimal adaptation strategy for configuring available systems to satisfy local constraints while achieving global goals. To support the selection of optimal set of participant systems, we have applied genetic algorithm. The effectiveness of our approach is evaluated through analyzing the results of a simulated unmanned forest management IT Ecosystem running the proposed framework while undergoing various environmental changes. Keywords-self-adaptive systems; dynamic reconfiguration; IT ecosystems.

A Middleware Framework for Leveraging Local and Global Adaptation in IT Ecosystems