Dynamically positioning orchestration functions, which operate at the scale of a few Access Points (APs), to a cluster of APs maintains efficiency of operations as the number of functions and clusters increases. Especially in contrast to a deployment model in which all functions either operate at an individual AP or operate on the Wireless Local Area Network (LAN) Controller (WLC), positioning functions in limited clusters of APs optimizes compute load/time and message travel time between participants. This distributed type of structure becomes more effective as a WLC is pushed toward a cloud network deployment, where travel delay and scale may interfere with centralizing function operation at the WLC.

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