A hysteresis multiple agent aggregations (M-MA) based load balancing system is proposed to distribute the Software-Defined Networking (SDN) control plane of Wide Area Network architecture. Agent-based load balancing is based on the Markov chain process. It considers control policy with thresholding and scaling under the eventual distribution of traffic among an overloaded SDN controller (user controller) and lightweight neighboring Controller (server-side). This can be acquired with a more massive discrepancy in resource utilization via dynamically utilizes the Controller's global available capacity. The anticipated M-MA strategy attempts to gain Multi-objective computation appropriate to high availability, scalability, flexibility, agility, resource utilization, energy-saving, and data computation probability without any overhead. This is anticipated via numerical investigations to validate the efficiency of the expected model. This is acquired by steady-state and transient analysis based on suitable performance metrics like transition rate (among server and client), aggregated capacity, throughput computation, and latency computation. This work depicts that the anticipated (M-MA) scheme outperforms prevailing approaches, and resource provision is attained with specific essential requirements.