Towards an Implementation of the Knowledge-Based Control Plane for Intelligent Swarm Networks

TL;DR

This paper explores integrating Dynamic Knowledge Graphs with SDN to enhance swarm network management, enabling better control, resource allocation, and adaptive routing through a unified, dynamically updated network data view.

Contribution

It introduces a novel approach combining DKG with SDN for improved swarm network control and management capabilities.

Findings

Enhanced network management through DKG integration

Improved resource allocation and decision making

Effective adaptive routing strategies

Abstract

This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control capabilities of the swarm network. The DKG works as a unified network data view, capturing network information such as topology, flow rules, host information, switch information, link status, and in-band network telemetry (INT) data. Benefited from the deep programmability of SDN, the network information can be converted into RDF format constantly, and the DKG will be dynamically updated. This approach helps the network operators to control their network infrastructure, such as allocating resource effectively and decision making at the application layer. Potential use cases demonstrate the applicability and advantages of the proposed approach. Examples include access control in swarm network scenarios and applying adaptive routing strategies, etc. These use cases illustrate how DKG-based SDN can address swarm network management challenges effectively, optimizing performance and resource utilization.