In [2] we introduced a theoretical framework for modelling scalable information-aggregation systems. The framework is exposed on the background of a description of METIS, a system prototype aiming at supporting maritime safety and security by facilitating continuous monitoring of vessels in national coastal waters. Among the main problems of deployment of large-scale surveillance systems like METIS lies their scalability with respect to a potentially large number of monitored entities. One of the solutions to the problem is a decomposition of the system into a number of fragmentary configurations combined with a continuous reconfiguration according to the changing environment it operates in. The proposed continuous reconfiguration algorithm relies on standard results from abstract argumentation [1] and corresponds to computation of a grounded extension of the argumentation framework associated with the system.