The Information-Centric Network (ICN) is very promising in the area of Complex Active Networks (CANs), where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic of active networking services. Also, the in-network caching and processing capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous E2E connectivity between data producers and data consumers. In this paper, we present an ICN-based architecture in which ICN nodes provide processing/treatment capabilities and caching functions. Service placement algorithms (OPPA and HPPA) in CANs are proposed to choose optimal and near-optimal placement location for ICN nodes. We evaluated the algorithms with respect to several performance metrics and the obtained results show improvement in services consumption latency and network load. Furthermore, we propose a caching strategy that shows to stabilize the network load despite any increase in the number of consumer interests