Our objectives involve the development of correct by design models and operational solutions to discover, compose and manage, by automated procedures, the properties of adaptability essential for autonomous reconfiguration. These properties are critical for highly dynamic complex systems such as massive data collection, transport and processing systems , and associated IoT applications. This research direction is of interest for many applications that, on the one hand, have strong reconfiguration requirements to manage mobility, ubiquity, adaptation and self-healing, which are essential for autonomy, and that, on the other hand, are subject to non-functional constraints of quality of service, robustness and reliability. We propose, here, to develop multi-level reconfiguration solutions (VM clusters, application containers, message partitions), in order to manage simultaneously and consistently the adaptation in the different architectural levels. This is necessary for service continuity and end-to-end quality we implemented by coordinating the adaptation actions to satisfy the evolving of the context.