Autonomic computing in internet of things for resource management

Ashraf, Qazi Mamoon and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul and Tahir, Mohammad (2015) Autonomic computing in internet of things for resource management. Journal of Next Generation Information Technology, 6 (4). pp. 47-62. ISSN 2092-8637

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6727/46550
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	28 Dec 2015 15:24
Last Modified:	16 Oct 2017 14:54
URI:	http://irep.iium.edu.my/id/eprint/46550

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