Cyber Physical Systems (CPS) offer new ways for people to interact with computing systems: every thing now inte- grates computing power that can be leveraged to provide safety, assistance, guidance or simply comfort to users. CPS are long living and pervasive systems that intensively rely on microcontrollers and low power CPUs, integrated into build- ings (e.g. automation to improve comfort and energy opti- mization) or cars (e.g. advanced safety features involving car-to-car communication to avoid collisions). CPS operate in volatile environments where nodes should cooperate in opportunistic ways and dynamically adapt to their context. This paper presents μ-Kevoree, the projection of Kevoree (a component model based on models@runtime) to microcon- trollers. μ-Kevoree pushes dynamicity and elasticity con- cerns directly into resource-constrained devices. Its evalua- tion regarding key criteria in the embedded domain (mem- ory usage, reliability and performance) shows that, despite a contained overhead, μ-Kevoree provides the advantages of a dynamically reconfigurable component-based model (safe, fine-grained, and efficient reconfiguration) compared to tra- ditional techniques for dynamic firmware upgrades.