Deterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand intelligent routing framework OdR for deterministic network was proposed.Under the OdR framework, an on-demand intelligent routing algorithm named OdR-TD3 based on deep reinforcement learning was proposed, which generates routing strategies based on the deterministic QoS requirements of application traffic, to satisfy the applications’ requirements of deterministic network.The experimental evaluation results show the OdR-TD3 algorithm has a significant advantage over the DV algorithm and the SPF algorithm in terms of the achievement rate of deterministic QoS requirements.
The deterministic network is oriented to various services in the network, ensuring the deterministic requirements of different services in terms of delay, packet loss rate, cost overhead, throughput, security, and reliability. This paper proposes an on-demand routing learning model with a three-layer logical plane that can generate on-demand routing strategies with deterministic QoS (Quality of Services) requirements for different traffic flows. With the help of deep reinforcement learning algorithms, the OdR-TD3 and OdR-SAC algorithms are proposed to generate the suitable routing strategies to meet the deterministic QoS requirements of applications' traffic. The experimental evaluation results show the OdR-TD3 and OdR-SAC algorithm have significant advantages over the DV and SPF algorithms, considering the achievement rate of deterministic QoS requirements.
Faced with the severe challenges of today’s network in terms of scalability,mobility,QoS guarantee and manageability,the essential capability requirements of future networks were summarized by analyzing application scenarios of future networks,and the key functional requirements and performance indicators of future networks were proposed.Finally,the development trend of the future networks was forecasted.
