A multidimensional resource model for dynamic resource matching in internet of things. (18th October 2013)

• Record Type: Journal Article
• Authors: Zhao, Shuai; Zhang, Yang; Yu, Le; Cheng, Bo; Ji, Yang; Chen, Junliang; Mustafee, Navonil; Bessis, Nik; Barolli, Leonard; Chen, Xiaofeng; Xhafa, Fatos
• Is Part Of: Concurrency and computation. Volume 27:Number 8(2015:Jun.)
• Page Start: 1819
• Page End: 1843
• Publication Date: 2013-10-18
• Subjects: Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3170
• Languages: English
• ISSNs: 1532-0626

Abstract

<abstract abstract-type="main" id="cpe3170-abs-0001"> <title>Summary</title> <p id="cpe3170-para-0001">With the development of Internet of Things (IoT), many middleware solutions have been proposed for the integration of physical world with the Web. However, most leading middleware solutions provide only limited resource matching and selection functionality. When significant amounts of resources are available, selecting the appropriate resources becomes challenging and time‐consuming. This paper addresses the growing issues of resource matching and selection in IoT solutions. In this paper, we propose a novel resource model to describe the IoT resources in a multidimensional manner. Based on the resource model, a resource matching algorithm that selects the well‐matched resources by matching the similarity between resources is proposed. Moreover, we constructed a combined resource set and used it and OWLS‐TC to evaluate our work comprehensively. Experimental results show that the proposed resource matching approach is more effective and efficient than existing approaches. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>