Maritime surveillance of large volume traffic demands robust and scalable network architectures for distributed
information fusion. Operating in an adverse and unpredictable environment, the ability to flexibly adapt to
dynamic changes in the availability of mobile resources and the services they provide is critical for the success
of the surveillance and rescue missions. We present here an extended and enhanced version of the Dynamic
Resource Configuration $ Management Architecture (DRCMA), with new features and improved algorithms
to better address the adaptability requirements of such a resource network. The DRCMA system concept is
described in abstract functional and operational terms based on the Abstract State Machine (ASM) paradigm
and the CoreSM open source tool environment for modeling dynamic properties of distributed systems.