Ontology Based Resource Management for IoT Deployed with SDDC

Abstract

Resource management is a challenging issue for data centers catering to the emergent paradigm of Internet of Things (IoT). Virtualization and cloud technologies have given rise to Software-Defined Data Center (SDDC) where the main data center infrastructure viz. compute, networking, storage and security are virtualized. The provisioning and operation of the SDDC infrastructure is completely automated by software and each of the infrastructure is delivered as a service. Despite the proliferation of SDDC, the adoption of SDDC with IoT is still at its very beginning. Especially there are a lack of intelligent resource management techniques covering the end-to-end IoT and IT fabric. In an attempt to bridge this gap, we present a resource modelling framework based on semantic technologies using ontologies. To that end, the key contribution of this paper lies in being one of the first attempts in the modelling the IoT ecosystem comprising of IoT and SDDC using semantic based approaches and derive a cohesive/unified ontology. The usefulness of the cohesive ontology is demonstrated with solutions to certain problems pertinent in the Operational Technology (OT)/Information Technology (IT) convergence space and resource allocation.