Intelligent QoS Agent Design for QoS Monitoring and Provisioning in 6G Network
Sisay Tadesse Arzo, Petro Mushidi Tshakwanda, Yonatan Melese Worku, Harsh Kumar, Michael Devetsikiotis · 2023
Future networks such as 6G are projected to incorporate in-network intelligence toward achieving a zero-touch network. In this regard, several approaches proposed for the organizational architecture of future networks. Similar to microservice-based service design, a multi-agent-based network automation architecture was proposed as a competing paradigm for service-oriented architecture. The proposed architecture outlines the design guideline for intelligent network systems using agents as atomic and autonomous service units that can be used as building blocks. As a continuation of this approach, we design a Quality of Service (QoS) agent to control and manage stringent services such as remote surgery. QoS agent is intelligent that can capture and respond proactively to network traffic and workload distribution, showing hourly and seasonal patterns. QoS agents can be used as a building block along with traffic classification and traffic prediction agents for an intelligent networking system. For evaluation, a campus network is designed using a NetSim environment considering a three-tier network architecture. The QoS agent dynamically finds the best path for a particular service depending on the requirements. The agent communicates with the traffic prediction agent and traffic classifier agent to collect information about the network and services. Moreover, the QoS agent also observes the network states. Using these values along with existing network topology knowledge, it ranks the available paths to proactively allocate the best path for a service. Evaluation results suggest that with the appropriate accuracy of traffic prediction, the proposed approach can autonomously adapt in allocating a path for a given service.