Study on Data Processing of the IOT Sensor NetworkBased on a Hadoop Cloud Platform and a TWLGAScheduling Algorithm


Guoyu Li, Kang Yang, Journal of Information Processing Systems Vol. 17, No. 6, pp. 1035-1043, Dec. 2021  

10.3745/JIPS.04.0230
Keywords: Cloud computing, Hadoop, Internet of Things, Sensor network
Fulltext:

Abstract

An Internet of Things (IOT) sensor network is an effective solution for monitoring environmental conditions. However, IOT sensor networks generate massive data such that the abilities of massive data storage, processing, and query become technical challenges. To solve the problem, a Hadoop cloud platform is proposed. Using the time and workload genetic algorithm (TWLGA), the data processing platform enables the work of one node to be shared with other nodes, which not only raises efficiency of one single node but also provides the compatibility support to reduce the possible risk of software and hardware. In this experiment, a Hadoop cluster platform with TWLGA scheduling algorithm is developed, and the performance of the platform is tested. The results show that the Hadoop cloud platform is suitable for big data processing requirements of IOT sensor networks.


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Cite this article
[APA Style]
Li, G. & Yang, K. (2021). Study on Data Processing of the IOT Sensor NetworkBased on a Hadoop Cloud Platform and a TWLGAScheduling Algorithm. Journal of Information Processing Systems, 17(6), 1035-1043. DOI: 10.3745/JIPS.04.0230.

[IEEE Style]
G. Li and K. Yang, "Study on Data Processing of the IOT Sensor NetworkBased on a Hadoop Cloud Platform and a TWLGAScheduling Algorithm," Journal of Information Processing Systems, vol. 17, no. 6, pp. 1035-1043, 2021. DOI: 10.3745/JIPS.04.0230.

[ACM Style]
Guoyu Li and Kang Yang. 2021. Study on Data Processing of the IOT Sensor NetworkBased on a Hadoop Cloud Platform and a TWLGAScheduling Algorithm. Journal of Information Processing Systems, 17, 6, (2021), 1035-1043. DOI: 10.3745/JIPS.04.0230.