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Resource discovery approaches in cloudIoT: a systematic review

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Abstract

The cloud of things (CloudIoT) represents a general system of supporting infrastructure for storing and processing information gathered from smart objects and their communications.There are many resources used to respond to requests in the CloudIoT environment. Therefore, a primary challenge in these systems is resource discovery based on the requests. Discovering and accessing resources, overcoming user constraints, and focusing on dynamic requirements, such as failure nodes, are the most critical issues to be addressed. This paper focuses on several resource discovery mechanisms using the systematic literature review method in the CloudIoT environment. The research aims at analyzing and reviewing studies published from 2016 to 2021 (June) on resource discovery in CloudIoT. The technical classification of resource discovery is based on selected studies by considering architecture, algorithm, middleware, and protocol approaches. These studies are discussed in terms of their main ideas, advantages, and weaknesses. Finally, future research opportunities related to resource discovery in the cloud of things are identified.

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Authors and Affiliations

  1. Department of Computer Engineering, Dezfoul Branch, Dezfoul, Iran

    Parisa Goudarzi & Mohammad Mosleh

  2. Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan

    Amir Masoud Rahmani

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  1. Parisa Goudarzi
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  2. Amir Masoud Rahmani
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  3. Mohammad Mosleh
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Correspondence to Amir Masoud Rahmani.

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Goudarzi, P., Rahmani, A.M. & Mosleh, M. Resource discovery approaches in cloudIoT: a systematic review. J Supercomput 78, 17202–17230 (2022). https://doi.org/10.1007/s11227-022-04541-0

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