Ontology-Based Resource Allocation for Internet of Things - Advances in Production Management Systems. Production Management for the Factory of the Future Access content directly
Conference Papers Year : 2019

Ontology-Based Resource Allocation for Internet of Things

Kamran Zamanifar
  • Function : Author
  • PersonId : 1061532
Damiano Arena
  • Function : Author
  • PersonId : 996310

Abstract

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.
Fichier principal
Vignette du fichier
489100_1_En_41_Chapter.pdf (363.21 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02419206 , version 1 (19-12-2019)

Licence

Attribution

Identifiers

Cite

Zeinab Nezami, Kamran Zamanifar, Damiano Arena, Dimitris Kiritsis. Ontology-Based Resource Allocation for Internet of Things. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.323-330, ⟨10.1007/978-3-030-30000-5_41⟩. ⟨hal-02419206⟩
90 View
50 Download

Altmetric

Share

Gmail Facebook X LinkedIn More