Abstract
Industry 4.0 revolution has emerged as an escalator for increased productivity and cost savings in smart factories. However, they pose a big challenge for network architecture in providing a flexible way for continuous data flow. The necessity of reliable connectivity in the industrial ecosystem has paved the path for the evolution of software-defined industrial networks. However, the nature of data traffic in the industrial environment further pushes the need for adaptive flow forwarding and control. Therefore, in this article, AdaptFlow, an adaptive flow forwarding scheme, is designed for software-defined industrial networks. AdaptFlow includes: 1) application-specific traffic classification using self-organized maps; 2) B+ tree-based flow table management; 3) queuing model for analyzing the waiting time; and 4) energy-aware flow forwarding algorithm. The evaluation of AdaptFlow scheme shows improvements in minimizing delay and energy consumption while increasing network capacity in contrast to the OpenFlow architecture.
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