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An Internet of Things environment, a civil engineering customized application development employing Dynamic Data Scheduling

JOURNAL:MAZEDAN JOURNAL OF CIVIL ENGINEERING & ARCHITECTURE

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# Authors First Online DOI Downloads Citations
1. ZAINEB NAAZ*, VIDUSHI SHARMA 30 Dec 2021 na 12 0
Abstract

With the rising proliferation of Big Data and the Internet of Things, edge computing serves as an efficient computing model for time-stringent data processing which can bypass network bandwidth and latency limitations, and has become one of the cores of interconnected devices. The billions of IoT devices are producing huge and voluminous data of different characteristics. It may be critical, periodic, or priority-based data. However, the solution to schedule data based on its characteristics is yet to be defined. Traditional scheduling algorithms fall short in satisfying the needs of an IoT network that has a truly global scale. In this paper, based on the concept of edge computing and job scheduling algorithms we have proposed a dynamic scheduling algorithm that will schedule data based on its characteristics. We highlight the distinctive parameters of data that we believe should be addressed in an IoT network. We finally compared our dynamic scheduling technique with the traditional round-robin scheduling technique. The main aim of our proposed model is to minimize the delay of critical data that needs immediate action. Experiment evaluation results demonstrate that dynamic scheduling of data reduces the response delay of data that needs immediate action

Keywords

Cloud Computing, Dynamic Scheduling, Edge Computing, Internet of Things (IoT), Round Robin Scheduling

References

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    [3]           Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., “A view of cloud computing.” International Journal of Computers and Technology 4, 2013, 50–58.

    [4]           Shi, Weisong, et al. "Edge computing: Vision and challenges. "IEEE internet of things journal 3.5 (2016): 637-646.