JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Study on Data Processing of the IOT Sensor Network Based on a Hadoop Cloud Platform and a TWLGA Scheduling Algorithm |
| 영문제목(English Title) |
Study on Data Processing of the IOT Sensor Network Based on a Hadoop Cloud Platform and a TWLGA Scheduling Algorithm |
| 저자(Author) |
Guoyu Li
Kang Yang
|
| 원문수록처(Citation) |
VOL 17 NO. 6 PP. 1035 ~ 1043 (2021. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English 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. |
| 키워드(Keyword) |
Cloud Computing
Hadoop
Internet of Things
Sensor Network
|
| 파일첨부 |
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