基于远程云服务平台的船舶动态实时监控系统
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摘要
随着海洋数据传输速率的提升,基于云服务平台的监控系统相对传统本地监控平台可扩展性及处理性能有很大提高,能够实现多层次的监控及实时数据分析需求,在海洋船舶监控领域得到广泛应用。Openstack是一种集成了并行数据传输及处理机制的云开放平台,本文在此基础上对云平台进行了二次开发,设计了基于远程云服务平台的船舶动态实时监控系统,最后进行仿真。
With the increase of ocean data transmission rate, the scalability and processing performance of the monitoring system based on cloud service platform has been greatly improved compared with the traditional architecture. It can achieve multi-level monitoring and real-time data analysis requirements, and has been widely used in the field of ocean ship monitoring. Openstack is an open cloud platform which integrates parallel data transmission and processing mechanism.Based on this, this paper redevelops the cloud platform, designs a ship dynamic real-time monitoring system based on remote cloud service platform, and finally carries out simulation.
With the increase of ocean data transmission rate, the scalability and processing performance of the monitoring system based on cloud service platform has been greatly improved compared with the traditional architecture. It can achieve multi-level monitoring and real-time data analysis requirements, and has been widely used in the field of ocean ship monitoring. Openstack is an open cloud platform which integrates parallel data transmission and processing mechanism.Based on this, this paper redevelops the cloud platform, designs a ship dynamic real-time monitoring system based on remote cloud service platform, and finally carries out simulation.
引文
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[5]KHOUDALI S, BENZIDANE K, SEKKAKI A, et al. Toward an elastic, scalable and distributed monitoring architecture for cloud infrastructures[C]//Next Generation Networks and Services(NGNS), 2014 Fifth International Conference on.IEEE, 2014:132–138.
[2]梁宇,杨海波,李鸿彬,等.基于Open Stack资源监控系统[J].计算机系统应用, 2014, 23(4):44–47.
[3]DONGMYOUNG B, BUMCHUL L. Analysis of telemetering service in Open Stack[C]//International Conference on Information and Communication Technology Convergence.IEEE, 2015:272–274.
[4]SWAROOP D, HEDRICK J K, YIP P P, et al. Dynamic surface control for a class of nonlinear systems[J]. IEEE Transactions on Automatic Control, 2010, 45(10):1893–1899.
[5]KHOUDALI S, BENZIDANE K, SEKKAKI A, et al. Toward an elastic, scalable and distributed monitoring architecture for cloud infrastructures[C]//Next Generation Networks and Services(NGNS), 2014 Fifth International Conference on.IEEE, 2014:132–138.