多云協(xié)同存儲(chǔ)架構(gòu)及方法研究
發(fā)布時(shí)間:2018-02-26 18:26
本文關(guān)鍵詞: 云存儲(chǔ) 多云協(xié)同 中間件系統(tǒng) 自適應(yīng) 分發(fā) 出處:《西安電子科技大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:云存儲(chǔ)因其使用便利、性價(jià)比高、擴(kuò)展性強(qiáng)而得到廣泛使用。由于失去對(duì)物理存儲(chǔ)介質(zhì)的控制,云存儲(chǔ)在可靠性、效率以及安全方面都面臨嚴(yán)峻的挑戰(zhàn)。用戶數(shù)據(jù)完全由云服務(wù)提供商控制和管理導(dǎo)致數(shù)據(jù)丟失、損壞等可靠性問題和數(shù)據(jù)的安全保護(hù)問題;用戶網(wǎng)絡(luò)環(huán)境的變化導(dǎo)致數(shù)據(jù)存取的效率無法達(dá)到最優(yōu)化。針對(duì)單一的云存儲(chǔ)服務(wù)的可靠性問題以及對(duì)云備份開銷較大的問題,提出了基于數(shù)據(jù)分片的多云協(xié)同存儲(chǔ)架構(gòu),設(shè)計(jì)了多云存儲(chǔ)中間件系統(tǒng)。該存儲(chǔ)架構(gòu)能夠利用現(xiàn)有的多種云存儲(chǔ)平臺(tái)進(jìn)行協(xié)同存儲(chǔ),具有可擴(kuò)展性、高效性和低開銷的優(yōu)點(diǎn)。在所提出的多云存儲(chǔ)架構(gòu)的基礎(chǔ)上,綜合考慮多云存儲(chǔ)資源和網(wǎng)絡(luò)服務(wù)質(zhì)量,提出了用戶數(shù)據(jù)自適應(yīng)分發(fā)及整合算法。分析與驗(yàn)證表明相比于Hadoop、Swift等使用的數(shù)據(jù)分發(fā)及整合算法,該算法能夠有效提高數(shù)據(jù)存取的效率。針對(duì)多云協(xié)同存取存在的數(shù)據(jù)安全保護(hù)問題,提出了數(shù)據(jù)存取與數(shù)據(jù)管理、用戶訪問相分離的信息安全保障機(jī)制,給出了基于元數(shù)據(jù)服務(wù)器的數(shù)據(jù)分片存儲(chǔ)和密鑰管理方法,克服了云存儲(chǔ)數(shù)據(jù)泄露的問題;谝陨霞夹g(shù),設(shè)計(jì)和開發(fā)了多云協(xié)同存儲(chǔ)系統(tǒng),驗(yàn)證所提出的技術(shù)。
[Abstract]:Cloud storage is widely used because of its convenient use, high cost performance and strong expansibility. User data is controlled and managed by cloud service provider, which leads to data loss, damage and data security. The efficiency of data access can not be optimized due to the change of user network environment. Aiming at the reliability problem of a single cloud storage service and the large overhead of cloud backup, a multi-cloud cooperative storage architecture based on data slicing is proposed. A multi-cloud storage middleware system is designed. The storage architecture can make use of the existing multi-cloud storage platform for collaborative storage, which has the advantages of scalability, high efficiency and low overhead. On the basis of the proposed multi-cloud storage architecture, Considering multi-cloud storage resources and network quality of service, an adaptive data distribution and integration algorithm is proposed, which is compared with Hadoop Swift data distribution and integration algorithm. The algorithm can effectively improve the efficiency of data access. Aiming at the problem of data security protection existing in cloud cooperative access, the information security mechanism of data access, data management and user access is proposed. This paper presents a metadata server based data partitioning storage and key management method, which overcomes the problem of cloud storage data leakage. Based on the above technology, a multi-cloud cooperative storage system is designed and developed to verify the proposed technology.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP333
【參考文獻(xiàn)】
相關(guān)期刊論文 前2條
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