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The utilization of algorithms for cloud internet of things application domains: a review

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Abstract

Cloud internet of things (IoT) is an emerging technology that is already impelling the daily activities of our lives. However, the enormous resources (data and physical features of things) generated from Cloud-enabled IoT sensing devices are lacking suitable managerial approaches. Existing research surveys on Cloud IoT mainly focused on its fundamentals, definitions and layered architecture as well as security challenges. Going by the current literature, none of the existing researches is yet to provide a detailed analysis on the approaches deployed to manage the heterogeneous and dynamic resource data generated by sensor devices in the cloud-enabled IoT paradigm. Hence, to bridge this gap, the existing algorithms designed to manage resource data on various CloudIoT application domains are investigated and analyzed. The emergence of CloudIoT, followed by previous related survey articles in this field, which motivated the current study is presented. Furthermore, the utilization of simulation environment, highlighting the programming languages and a brief description of the simulation packages adopted to design and evaluate the performance of the algorithms are examined. The utilization of diverse network communication protocols and gateways to aid resource dissemination in the cloud-enabled IoT network infrastructure are also discussed. The future work as discussed in previous researches, which pave the way for future research directions in this field is also presented, and ends with concluding remarks.

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Acknowledgements

The Authors would like to appreciate the support of the Research Management Centre (RMC) Universiti Teknologi Malaysia with the research grant (QJ130000.2451.07G48). We would like to express our sincere thanks to all researchers who devoted their time and knowledge to the completeness of this research project.

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Authors and Affiliations

  1. Department of Computer Science, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia

    Edje E. Abel & Muhammad Shafie Abd Latiff

  2. Department of Computer Science, Delta State University, Delta State PMB 01, Delta, Nigeria

    Edje E. Abel

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  1. Edje E. Abel
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Correspondence to Edje E. Abel.

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Edje E. Abel is currently a PhD scholar at the School of Computing, faculty of Engineering, Universiti Teknologi Malaysia, Malaysia. He obtained his MSc (Information Systems Management) in 2010 and BSc (Network Computing) in 2009, in Brunel University, UK. His area of interest is cloud Internet of Things, grid computing, network computing, and information systems management.

Muhammad Shafie Abd Latiff received his PhD degree in 2000 from Bradford University, UK. He is a professor and currently the Head of Pervasive Computing Research Group at the School of Computing, faculty of Engineering, Universiti Teknologi Malaysia (UTM), Malaysia. His research interests are in computer networks with the focus generally on routing protocol, grid, and cloud computing and wireless sensor networks.

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Abel, E.E., Latiff, M.S.A. The utilization of algorithms for cloud internet of things application domains: a review. Front. Comput. Sci. 15, 153502 (2021). https://doi.org/10.1007/s11704-019-9056-6

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