MC-LBTO: secure and resilient state-aware multi-controller framework with adaptive load balancing for SD-IoT performance optimization

Faculty Computer Science Year: 2025
Type of Publication: ZU Hosted Pages:
Authors:
Osama Mohamed Abdelsalam Ahmed Elkomy
Journal: Scientific Reports Springer Nature Volume:
Keywords : MC-LBTO: secure , resilient state-aware multi-controller framework    
Abstract:
The rapid expansion of the Internet of Things (IoT) has intensified demands for scalable traffic management, real-time visibility, and resilient control in large, heterogeneous networks. Conventional Software-Defined Networking (SDN) architectures, typically based on centralized control and static forwarding, struggle to address the dynamic, data-intensive behavior of Software-Defined IoT (SD-IoT) systems. To overcome these limitations, this paper proposes MC-LBTO, a modular multi-controller framework that integrates programmable data plane intelligence with adaptive, secure coordination among distributed controllers to optimize load balancing and network efficiency. MC-LBTO comprises three cooperative modules: PDSM (P4-enabled Dynamic State Monitoring) for in-switch traffic observation and analytics; PALB (P4-based Adaptive Load Balancer) for latency-aware and fair traffic distribution; and STAM …
    
     
 
       

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  • Osama Mohamed Abdelsalam Ahmed Elkomy, "Multi-Objective Task Scheduling Approach for Fog Computing.", IEEE Access, 2021 More

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