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Demand-Supply-Based Economic Model for Resource Provisioning in Industrial IoT Traffic

Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • Kshira Sagar Sahoo
  • Mayank Tiwary
  • Ashish Kr Luhach
  • Anand Nayyar
  • Kim Kwang Raymond Choo
  • Muhammad Bilal
<mark>Journal publication date</mark>1/07/2022
<mark>Journal</mark>IEEE Internet of Things Journal
Issue number13
Number of pages10
Pages (from-to)10529-10538
Publication StatusPublished
Early online date22/10/21
<mark>Original language</mark>English


Software-defined networks (SDNs) can help facilitate dynamic network resource provisioning in demanding applications, such as those involving Industrial Internet of Things (IIoT) devices and systems. For example, SDN-based systems can support increasing demands of multitenancy at the network layer, complex demands of microservices, etc. A typical (large) manufacturing setting generally comprises a broad and diverse range of IoT devices and applications to support different services (e.g., transactions on enterprise resource planning (ERP) software, maintenance prediction, asset management, and outage prediction). Hence, this work introduces a demand-supply-based economic model to enhance the efficiency of different multitenancy attributes at the network layer, which captures the computational complexity of industrial ERP-IoT transactions and performs network resource provisioning, based on the demand-supply principle. The proposed model is accompanied by a flow scheduler, which dynamically assigns ERP-IoT traffic flow entries on network devices to specific preconfigured queues. This scheduler is used to increase service providers' utility. The evaluation of the proposed model suggests the utility of our proposed approach.