Dynamic Load-Balancing Vertical Control for Large-Scale Software-Defined Internet of Things
Lianming Zhang, Xiaoxun Zhong, Yehua Wei, Kun Yang

TL;DR
This paper proposes a dynamic load-balancing vertical control framework for large-scale SD-IoT, utilizing election-based main controller balancing and delay-based basic controller load balancing to improve network performance.
Contribution
It introduces a novel vertical control architecture with dynamic load balancing algorithms for SD-IoT controllers, enhancing traffic management and network efficiency.
Findings
Election-based main controller balancing ensures message consistency.
Delay-based load balancing effectively distributes workloads.
Improved network performance demonstrated through experiments.
Abstract
As the global Internet of things increasingly is popular with consumers and business environment, network flow management has become an important topic to optimize the performance on Internet of Things. The rigid existing Internet of things (IoT) architecture blocks current traffic management technology to provide a real differentiated service for large-scale IoT. Software-defined Internet of Things (SD-IoT) is a new computing paradigm that separates control plane and data plane, and enables centralized logic control. In this paper, we first present a general framework for SD-IoT, which consists of two main components: SD-IoT controllers and SD-IoT switches. The controllers of SD-IoT uses resource pooling technology, and the pool is responsible for the centralized control of the entire network. The switches of SD-IoT integrate with the gateway functions, which is responsible for data…
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