Aggregate computing is a promising programming paradigm for modeling and engineering collective adaptive systems, where global behaviors emerge from local interactions among distributed entities. This paper explores an extension towards real-time aggregate computing, aiming to enrich the paradigm with time-aware constructs that guarantee predictable and coordinated system behaviors under timing constraints. The proposed approach provides a foundation for rigorous modeling of distributed systems that must operate in real-time, paving the way for applications in safety-critical and adaptive domains.

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