Ontology Based Resource Management for IoT Deployed with SDDC

Koorapati, Koundinya; Ramesh, P.; Veeraswamy, Sairam

doi:10.1109/ccem.2018.00015

Cited by 2 publications

(2 citation statements)

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“…They address the issue of changing environment due to the mobility through a monitoring service that is capable of reasoning during the runtime. Koorapati et al [7] consider an ecosystem consisting of IoT, Software-Defined Data Center (SDDC) and cloud. The authors present a resource modeling framework based on semantic technologies insisting how semantic technologies are applied in addressing some of the key challenges in managing such an ecosystem.…”

Section: Related Workmentioning

confidence: 99%

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Ontology-Based Resource Allocation for Internet of Things

Nezami

Zamanifar

Arena

et al. 2019

IFIP Advances in Information and Communication Technology

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The Internet of Things has revolutionized the lifestyle in all aspects. Considering the huge number of connected objects and the plethora of real-time services, edge computing approaches have emerged. Resource allocation is one of the most important challenges in the Internet of Things. Here edge computing allows the use of resources at the edge network, hence, filling the gap between cloud and end-devices. The network resource allocation should meet users' expectations and provide optimal use of resources. Today, most of the systems are moving toward a self-x concept, such as self-organizing. As a result, these systems must be aware of users' preferences and the current state of the IoT ecosystem in order to adapt themselves to the conditions. In this context, we benefit from the employment of semantic technologies as these enhance the current systems with information modeling and reasoning capabilities which effectively support the allocation of IoT network resources.

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Section: Related Workmentioning

confidence: 99%

“…They enhance the raw data and link the data in any domain in real life. Ontologies provide a sophisticated semantic mechanism for resource modeling and allow representing both hardware and software, physical and virtual resources along with the relationships between them and in a variety of granularities [7].…”

Section: Introductionmentioning

confidence: 99%