Autonomic computing in internet of things for resource management
Internet of Things (IoT) is understood to bring along major research challenges due to the introduction of machine to machine (M2M) applications with no or minimal human supervision. A lot of challenges exist in the scope of resource management due to the high heterogeneity, high complexity and t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AICIT Korea
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/46550/1/JNIT369PPL.pdf http://irep.iium.edu.my/46550/ http://www.aicit.org/jnit/home/scope.html |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | Internet of Things (IoT) is understood to bring along major research challenges due to the
introduction of machine to machine (M2M) applications with no or minimal human supervision. A lot
of challenges exist in the scope of resource management due to the high heterogeneity, high complexity
and the existence of computational resources at various layers. The theory of autonomic computing
provides one approach for dynamic management of such resources. This paper discusses the
application of autonomic computing theory in Internet of Things for multi-layered resource
management. The issues related to resource management in security are also highlighted. It is found
that decision making through autonomic principles can significantly supplement traditional resource
management schemes in IoT. |
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