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

Xuanchi Guo, Anh Le-Tuan, Danh Le-Phuoc

TL;DR

The paper addresses the challenge of managing intelligent swarm networks by integrating a Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). It proposes an architecture where an RDF-based DKG sits alongside the ONOS controller and interfaces with P4 switches via the P4Runtime API, enabling real-time knowledge collection, reasoning, and decision making. Core contributions include the RDFization of network and swarm-node metadata through an RDFizer, a SPARQL-enabled knowledge base, and a workflow for distributing or centralizing DKGs across controllers to support adaptive routing and access control. The approach aims to deliver knowledge-driven control for swarm networks, with practical relevance to dynamic routing, resource management, and security, and outlines steps toward an initial implementation and deployment in practical swarm scenarios.

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.

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

TL;DR

The paper addresses the challenge of managing intelligent swarm networks by integrating a Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). It proposes an architecture where an RDF-based DKG sits alongside the ONOS controller and interfaces with P4 switches via the P4Runtime API, enabling real-time knowledge collection, reasoning, and decision making. Core contributions include the RDFization of network and swarm-node metadata through an RDFizer, a SPARQL-enabled knowledge base, and a workflow for distributing or centralizing DKGs across controllers to support adaptive routing and access control. The approach aims to deliver knowledge-driven control for swarm networks, with practical relevance to dynamic routing, resource management, and security, and outlines steps toward an initial implementation and deployment in practical swarm scenarios.

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.

Paper Structure

This paper contains 11 sections, 7 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. Overview of DKGs in SDN
  4. The Role of DKGs in an ONOS Controller
  5. P4 Runtime API: Facilitating ONOS Controller Interaction with P4 Switches
  6. Architecture of the Proposed DKG Based SDN
  7. DKG for Real-Time Communication and Resource Management in Swarm Networks
  8. Metadata Collection in RDF format
  9. Use Case in Swarm Communication Networks
  10. Conclusion
  11. Additional Figures

Figures (7)

  • Figure 1: DKG in a simplified view of ONOS Controller
  • Figure 2: RDFizer in a Single Remote P4 Controller of a P4 Target
  • Figure 3: Architecture Overview of Dynamic Knowledge Graph
  • Figure 4: RDFizing Switch-specific and Swarm Node-specific Metadata
  • Figure 5: DKG Use Case: Access Control Using the DDS Framework
  • ...and 2 more figures