论文标题
研究基于Hadoop Cloud平台和TWLGA调度算法的IOT传感器网络的数据处理
Study on the Data Processing of the IOT Sensor Network Based on Hadoop Cloud Platform and TWLGA Scheduling Algorithm
论文作者
论文摘要
物联网（IoT）传感器网络是监视环境状况的有效解决方案。物联网传感器网络生成大量数据，大量数据存储，处理和查询的能力成为技术挑战。为了解决该问题，提出了Hadoop云平台。在时间和工作负载遗传算法（TWLGA）的帮助下，数据处理平台提供了一个节点的工作以与其他节点共享，这不仅提高了一个单个节点的效率，而且还提供了兼容性支持，以减少软件和硬件的可能风险。在实验中，建立了带有TWLGA调度算法的Hadoop群集平台，并测试了平台的性能。结果表明，Hadoop Cloud平台适用于IoT传感器网络的大数据处理。
The Internet of Things (IOT) sensor network is an effective solution for monitoring environment condition. IOT sensor network generates massive data, and the abilities of massive data storage, processing and query become technical challenges. To solve the problem, a Hadoop cloud platform is proposed. With the help of time and workload genetic algorithm (TWLGA), the data processing platform provides the work of one node to share with others, 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 the experiment, a Hadoop cluster platform with TWLGA scheduling algorithm is built, and the performance of the platform is tested. The results show that the Hadoop cloud platform is suitable for big data processing of the IOT sensor network.
