本文關(guān)鍵詞： 監(jiān)控系統(tǒng) 分布式體系結(jié)構(gòu) Hadoop云平臺(tái)　出處：《艦船科學(xué)技術(shù)》2016年04期 　論文類型：期刊論文

【摘要】：隨著現(xiàn)代信息技術(shù)發(fā)展,艦船監(jiān)控系統(tǒng)也朝著智能化及信息化發(fā)展,同時(shí)隨著監(jiān)控?cái)?shù)據(jù)的急速增長(zhǎng),如何實(shí)時(shí)從海量監(jiān)控?cái)?shù)據(jù)中挖掘出有效信息是現(xiàn)代船舶遠(yuǎn)程實(shí)時(shí)監(jiān)控系統(tǒng)的瓶頸所在。云計(jì)算平臺(tái)利用分布式架構(gòu)云存儲(chǔ)及并行計(jì)算技術(shù),在大數(shù)據(jù)信息處理效率方面具有很大的優(yōu)勢(shì)。本文將現(xiàn)有的開源云平臺(tái)Hadoop引入船舶遠(yuǎn)程實(shí)時(shí)監(jiān)控系統(tǒng),在研究基于云平臺(tái)的監(jiān)控系統(tǒng)架構(gòu)基礎(chǔ)上,改進(jìn)監(jiān)控系統(tǒng)中的并行數(shù)據(jù)查詢算法,最后給出仿真結(jié)果。
[Abstract]:With the development of modern information technology, warship monitoring system is also developing towards intelligence and information, and with the rapid growth of monitoring data, How to mine effective information from mass monitoring data in real time is the bottleneck of modern ship remote real-time monitoring system. Cloud computing platform uses distributed architecture. Cloud storage and parallel computing technology have great advantages in the efficiency of big data information processing. This paper introduces the existing open source cloud platform Hadoop into the ship remote real-time monitoring system, based on the research of cloud platform based monitoring system architecture. The parallel data query algorithm is improved and the simulation results are given.
【作者單位】： 武漢軟件工程職業(yè)學(xué)院計(jì)算機(jī)學(xué)院;
【分類號(hào)】：U674.70
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本文編號(hào)：1542792