【摘要】：虛擬機動態遷移中，內存遷移機制最復雜、傳輸內容最多，目前多使用預拷貝方法。由于遷移期間虛擬機仍在運行，內存頁會發生改變，所以預拷貝中需要多次傳輸臟頁，高臟頁的頻繁重傳導致遷移效率嚴重下降。如何降低遷移時間、減少數據傳輸量成為虛擬機動態遷移中迫切需要解決的問題。 本文針對虛擬機動態遷移中的內存遷移展開研究。首先，本文提出了一種基于臟頁率預測的內存預拷貝方法。根據局部性原理的時間局部性，高臟頁在短時間內會被持續改寫，具有一定的延續性，滿足自回歸過程的平穩性條件。因此本文使用基于時間序列的自回歸模型AR(n)對虛擬機內存頁的臟頁率做出預測，從遷移期間產生的臟頁中識別出高臟頁，在迭代過程中優先傳送臟頁率低的內存頁，以避免高臟頁的多次重傳，進而獲得更高的遷移效率。 其次，本文在Xen中實現了基于臟頁率預測的虛擬機動態遷移，然后在不同CPU負載、內存負載和網絡負載下對虛擬機動態遷移性能做了相應測試，并從總遷移時間、停機時間、遷移傳輸數據量三個方面對實驗結果進行了分析。實驗結果表明，基于臟頁率預測的虛擬機動態遷移減少了數據傳輸量，縮短了遷移時間，有效提高了虛擬機動態遷移的效率。 最后，本文將虛擬機動態遷移技術應用于自主開發的“信息安全設計型實驗平臺”，設計并開發了名為ISEP的虛擬機動態遷移系統對實驗平臺的虛擬機集群進行資源調度。ISEP遷移系統優化了資源的計量方法，引入K/N模型避免瞬時負載峰值造成頻繁遷移，并綜合最小代價原則和最佳匹配原則選擇遷移的源虛擬機和目標宿主機，使實驗平臺的虛擬機集群同時達到負載均衡和節能目標。
[Abstract]:In the dynamic migration of virtual machines, memory migration mechanism is the most complex and the content of transfer is the most. Since the virtual machine is still running during the migration, the memory pages will change, so it is necessary to transfer dirty pages many times in the precopy. The frequent retransmission of high dirty pages results in a serious decrease in migration efficiency. How to reduce the migration time and reduce the amount of data transfer has become an urgent problem in the dynamic migration of virtual machines. This paper focuses on memory migration in virtual machine dynamic migration. Firstly, a memory precopy method based on dirty page rate prediction is proposed. According to the temporal locality of the principle of locality, the highly dirty pages will be continuously rewritten in a short time, which has a certain continuity and satisfies the stationary condition of the autoregressive process. Therefore, this paper uses AR (n), an autoregressive model based on time series, to predict the dirty page rate of virtual machine memory pages, identify high dirty pages from the dirty pages generated during migration, and give priority to transferring memory pages with low dirty page rate during iteration. To avoid multiple retransmissions of high-dirty pages, thus achieving higher migration efficiency. Secondly, the dynamic migration of virtual machine based on the prediction of dirty page rate is realized in Xen, and the dynamic mobility of virtual machine is tested under different CPU load, memory load and network load. The experimental results are analyzed from three aspects of transferring data. The experimental results show that the dynamic migration of virtual machines based on the prediction of dirty page rate reduces the amount of data transfer, shortens the migration time, and effectively improves the efficiency of the dynamic migration of virtual machines. Finally, the virtual machine dynamic migration technology is applied to the "Information Security Design experiment platform", which is developed by ourselves. A virtual machine dynamic migration system named ISEP is designed and developed to optimize the resource measurement method for the virtual machine cluster of the experimental platform. The K / N model is introduced to avoid frequent migration caused by the instantaneous load peak. Combining the minimum cost principle and the best matching principle, the migrating source virtual machine and the target host are selected, so that the virtual machine cluster of the experimental platform can achieve load balancing and energy saving simultaneously.
【學位授予單位】：上海交通大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP302

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本文編號：2127445