本文選題：云計算 + 云安全��； 參考：《現(xiàn)代電子技術(shù)》2017年23期

【摘要】：針對當前很多改進的Map Reduce調(diào)度算法都未將計算節(jié)點安全性考慮在內(nèi)的問題,通過分析云計算任務(wù)調(diào)度機制,基于Vague模糊集的理論知識,將模糊決策理論引入到云計算安全調(diào)度應(yīng)用中,提出一種基于模糊決策的云計算安全模型。其基本思想是對云資源進行篩選評判,同時考察多個節(jié)點的資源,動態(tài)接受可信度高的資源池,拒絕可信度低的資源池。通過模糊評判選擇安全的節(jié)點,同時結(jié)合云計算的調(diào)度運算,從而達到資源的最佳利用率,同時兼顧云計算的安全問題,使得分布在云上的資源能滿足日益增長的安全需要。并在此基礎(chǔ)上進行算法實現(xiàn)與實驗分析,實驗證明新安全模型對"危險"云進行識別,該模型滿足云計算的安全性、高效性,加強了云計算的安全環(huán)境。
[Abstract]:In order to solve the problem that many improved Map reduce scheduling algorithms do not take the security of computing nodes into account, this paper analyzes the task scheduling mechanism of cloud computing, based on vague fuzzy sets theory. The fuzzy decision theory is introduced into cloud computing security scheduling application, and a cloud computing security model based on fuzzy decision is proposed. Its basic idea is to screen and judge cloud resources, at the same time to investigate the resources of multiple nodes, to accept the resource pool with high credibility dynamically, and to reject the resource pool with low credibility. In order to achieve the best utilization of resources and the security problem of cloud computing, the resources distributed on the cloud can meet the increasing security needs by selecting the secure nodes by fuzzy judgment and combining the scheduling operation of cloud computing. On this basis, the algorithm implementation and experimental analysis, experimental results show that the new security model to identify the "dangerous" cloud, this model can meet the security and efficiency of cloud computing, and enhance the security environment of cloud computing.
【作者單位】： 浙江大學計算機科學與技術(shù)學院;義烏工商職業(yè)技術(shù)學院;
【基金】：2016年度浙江省教育廳高等學校訪問學者專業(yè)發(fā)展項目(FX2016118)
【分類號】：TP309

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