發(fā)布時(shí)間：2018-06-16 11:12

  本文選題：云平臺(tái) + 國(guó)土資源　； 參考：《計(jì)算機(jī)仿真》2017年07期

【摘要】：云平臺(tái)中對(duì)國(guó)土資源信息進(jìn)行檢測(cè),能夠有效的對(duì)國(guó)土資源信息進(jìn)行合理的存儲(chǔ)。對(duì)國(guó)土資源信息的存儲(chǔ),需要將多源信息包分散的存儲(chǔ)到每個(gè)節(jié)點(diǎn)中,并形成一個(gè)存儲(chǔ)信息包,完成對(duì)國(guó)土資源信息的存儲(chǔ)。傳統(tǒng)方法先將信息存儲(chǔ)的空間劃分為不同的行列矩陣,給出不同資源的稀疏列,但忽略了存儲(chǔ)信息包的建立,導(dǎo)致信息存儲(chǔ)精度偏低。提出基于云平臺(tái)的國(guó)土資源信息分布式存儲(chǔ)方法。上述方法先融合云計(jì)算理論得到傳感器網(wǎng)絡(luò)模型和能量模型,給出信息分布式存儲(chǔ)的問(wèn)題方程,組建以最大化信息資源存儲(chǔ)質(zhì)量為目標(biāo)的分布式存儲(chǔ)機(jī)制,依據(jù)一定的接收概率將系統(tǒng)中多源信息包分散的存儲(chǔ)到云計(jì)算平臺(tái)下的每個(gè)節(jié)點(diǎn)中,在每個(gè)節(jié)點(diǎn)上形成一個(gè)存儲(chǔ)信息包,以此為依據(jù)完成對(duì)國(guó)土資源信息分布式存儲(chǔ)。實(shí)驗(yàn)結(jié)果證明,所提方法存儲(chǔ)精度較高,可以有效地完成對(duì)國(guó)土資源信息分布式存儲(chǔ)。
[Abstract]:The cloud platform detects the information of land and resources, which can effectively store the information of land and resources. For the storage of land and resources information, it is necessary to store multi-source information packets into each node and form a storage information packet to complete the storage of land and resources information. The traditional method first divides the space of information storage into different column matrices and gives sparse columns of different resources, but neglects the establishment of storage packets, which leads to the low precision of information storage. This paper presents a distributed storage method of land and resources information based on cloud platform. First, the sensor network model and energy model are obtained by combining cloud computing theory. The problem equation of distributed information storage is given, and the distributed storage mechanism aiming at maximizing the storage quality of information resources is established. According to a certain probability of receiving, the multi-source information packets in the system are stored in each node in the cloud computing platform, and a storage packet is formed on each node. Based on this, the distributed storage of land and resources information is completed. The experimental results show that the proposed method has high storage accuracy and can effectively achieve distributed storage of land and resources information.
【作者單位】： 中國(guó)科學(xué)院煙臺(tái)海岸帶研究所;中國(guó)科學(xué)院大學(xué);中國(guó)科學(xué)院海岸帶環(huán)境過(guò)程與生態(tài)修復(fù)重點(diǎn)實(shí)驗(yàn)室;
【分類(lèi)號(hào)】：TP333;TP393.09

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