Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Demand-Supply-Based Economic Model for Resource Provisioning in Industrial IoT Traffic
AU - Sahoo, Kshira Sagar
AU - Tiwary, Mayank
AU - Luhach, Ashish Kr
AU - Nayyar, Anand
AU - Choo, Kim Kwang Raymond
AU - Bilal, Muhammad
PY - 2022/7/1
Y1 - 2022/7/1
N2 - 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.
AB - 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.
KW - Controller
KW - enterprise resource planning (ERP)
KW - gateway
KW - Industrial Internet of Things (IIoT)
U2 - 10.1109/JIOT.2021.3122255
DO - 10.1109/JIOT.2021.3122255
M3 - Journal article
AN - SCOPUS:85118593265
VL - 9
SP - 10529
EP - 10538
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
SN - 2327-4662
IS - 13
ER -