Artificial Intelligence Enabled Routing in Software Defined Networking

Abstract

Software defined networking (SDN) is an emerging networking architecture that separates the control plane from the data plane and moves network management to a central point, called the controller. The controller is responsible for preparing the flow tables of each switch in the data plane. Although dynamic routing can perform rerouting in case of congestion by periodically monitoring the status of each data flow, problems concerning a suitable monitoring period duration and lack of learning ability from past experiences to avoid similar but ineffective route decisions remain unsolved. This paper presents an artificial intelligence enabled routing (AIER) mechanism with congestion avoidance in SDN, which can not only alleviate the impact of monitoring periods with dynamic routing, but also provide learning ability and superior route decisions by introducing artificial intelligence (AI) technology. We evaluate the performance of the proposed AIER mechanism on the Mininet simulator by installing three additional modules, namely, topology discovery, monitoring period, and an artificial neural network, in the control plane. The effectiveness and superiority of our proposed AIER mechanism are demonstrated by performance metrics, including average throughput, packet loss ratio, and packet delay versus data rate for different monitoring periods in the system.

Impact of Artificial Intelligence-enabled Software-defined Networks in Infrastructure and Operations: Trends and Challenges

“…SDN offers network simplification, reduced costs, productivity in bandwidth, and seamless cloudbased on-ramps with substantial application performance, particularly for critical applications, with no privacy or protection. The works discussed in [15] and [16] are evidence of how artificial intelligence fusion with SDN has improved the results in terms of performance. 1) Combining SDN with 5G: 5G networks spread across vertical and regional areas over the next decade are increasing.…”

“…The network infrastructure resources can be efficiently used by automating network equipment management. The authors in [15] have trained the network using an artificial neural network to handle the routing decisions considering the monitoring period. Varying the monitoring period from 3, 5, 10 seconds, various metrics were compared with static, dynamic, and artificial intelligence-enabled routing to prove that the network can learn from past experiences.…”

A Survey on Machine Learning Techniques for Routing Optimization in SDN

“…Wu et al [123] present AIER, an ANN to predict the minimum congestion probability among all path configuration. The network is trained to predict the congestion given the loads for all data flows and all the available path configuration.…”

Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies

“…Method Year [51] Online intelligent English teaching [52] An English network teaching [53] Perceptions on the impact of AI on English language learning [54] Chatbots in education [55] Network intelligent control and traffic optimization [4] Educational technology in English major college teaching [2] Acceptance determinants of 5G services [13] Chatbots applications in education [19] Task-oriented chatbot system [17] Chatbots in higher education [31] Human-computer interaction on IoT-based college physical education [43] College English teaching innovation under AI [33] Machine learning and neural network in English learning [39] Educational robot teaching resources using AI [40] College English teaching mode based on AI [47] Vocabulary intelligent tutoring system for second-grade latinx English learners [56] Understanding students' perceptions of AI teaching [57] AI-enabled routing in software-defined networking [1] Innovation in university education [5] Mobile-assisted language learning [7] Adult learners in distance education [12] Chatbots [20] Conversational agents for learning foreign languages [21] AI-based pronunciation checker [26] Prediction of learning styles in adaptive e-learning [30] Eco-environment construction of English teaching using AI [3] e strategy of college English mode based on 5G and AI [35] Chatbot using dialogflow [36] Preservice primary English teachers' AI chatbots [58] AI chatbot as a language learning medium [28] College English culture intelligence-aided teaching [49] AI in EFL context [50] AI in education [59] AI writing evaluation system in China CET…”