This paper discusses a resource management abstraction framework which involves the clustering of densely deployed access points and the selection of access nodes to act as cluster schedulers based on the RAN characteristics, the resource situation and the network slice requirements. To this end, the adaptive placement of Radio Resource Management (RRM) functionalities to the RAN nodes and the interactions among functionalities are determined on per slice basis. By taking into account the slice requirements, the backhaul#x002F;access channel conditions and the traffic load, a central management entity assigns RRM functionalities to the controllers with different levels of centralization in order to meet the per slice SLAs (in terms of throughput, reliability, latency). The controller, cluster and RRM split configuration problems are formulated and interpreted as three dependent graph-based sub- problems, where heuristic approaches with low complexity and signalling cost are proposed within this framework.