Sahoo, Kshira Sagar and Tiwary, Mayank and Luhach, Ashish Kr and Nayyar, Anand and Choo, Kim Kwang Raymond and Bilal, Muhammad (2022) Demand-Supply-Based Economic Model for Resource Provisioning in Industrial IoT Traffic. IEEE Internet of Things Journal, 9 (13). pp. 10529-10538. ISSN 2327-4662
Full text not available from this repository.Abstract
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.