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  本文關(guān)鍵詞：云環(huán)境下的資源交易風(fēng)險預(yù)測與管理的研究　出處：《云南大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 云計算 服務(wù)等級協(xié)議 流動性風(fēng)險 風(fēng)險預(yù)測

【摘要】：云計算是一種新興的分布式計算模型,同時也是一種新興的商業(yè)計算模型。云計算的計算資源已經(jīng)成為一種虛擬商品,以服務(wù)的形式進(jìn)行交易。由于云計算本身的特點(diǎn),云計算的底層計算資源往往是物理位置分布的,資源構(gòu)成動態(tài)變化的,異構(gòu)的。在這樣復(fù)雜的環(huán)境中,云計算的資源交易過程存在著很多風(fēng)險問題。所以,如何維持云平臺的正常運(yùn)行,避免資源交易風(fēng)險,保證云平臺的服務(wù)質(zhì)量成為云計算中一個非常重要的問題。在仔細(xì)分析了云計算中資源交易的特征后,以云銀行模型為背景,本文提出了一個流動性風(fēng)險的風(fēng)險預(yù)測和管理模型,并引入兩個重要的數(shù)學(xué)預(yù)測模型。該風(fēng)險預(yù)測和管理模型采取事前防御的風(fēng)險抵御方式,并針對不同級別的風(fēng)險采取不同的風(fēng)險抵御措施,可以有效預(yù)測云銀行中流動性風(fēng)險,及時警告云銀行,并啟動相應(yīng)的風(fēng)險管理措施。本文還在云銀行本身的服務(wù)等級協(xié)議基礎(chǔ)上,根據(jù)流動性風(fēng)險預(yù)測模型的內(nèi)容,制定并完善了原有服務(wù)等級協(xié)議中的風(fēng)險抵御部分的內(nèi)容。這部分內(nèi)容可以為云銀行中的風(fēng)險預(yù)測模型提供必要的數(shù)據(jù)以幫助云銀行避免資源交易過程中產(chǎn)生的流動性風(fēng)險。
[Abstract]:Cloud computing is not only a new distributed computing model, but also a new business computing model. Cloud computing resources have become a virtual commodity. Because of the characteristics of cloud computing, the underlying computing resources of cloud computing are often physical location distribution, the resources constitute dynamic changes, heterogeneous. In such a complex environment. There are many risk problems in the resource trading process of cloud computing. Therefore, how to maintain the normal operation of the cloud platform to avoid the risk of resource trading. Ensuring the quality of service of cloud platform has become a very important issue in cloud computing. After carefully analyzing the characteristics of resource transaction in cloud computing, the paper takes the cloud banking model as the background. In this paper, a risk forecasting and management model of liquidity risk is proposed, and two important mathematical forecasting models are introduced. According to different levels of risk, we can effectively predict the liquidity risk of cloud bank and warn cloud bank in time. And start the corresponding risk management measures. This paper also based on the cloud bank's own service level agreement, according to the content of the liquidity risk prediction model. This part can provide the necessary data for the risk prediction model in cloud bank to help cloud bank avoid the resource transaction process, the risk resistance part of the original service level agreement is developed and perfected. This part can provide the necessary data for the risk forecasting model in the cloud bank to help the cloud bank avoid the occurrence of the resource transaction in the course of the transaction. Liquidity risk.
【學(xué)位授予單位】：云南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP3;F49

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