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Co-Work:基于HDFS的安全云存儲數(shù)據(jù)一致性保持算法

發(fā)布時間:2018-12-09 18:43
【摘要】:針對云存儲平臺中用戶隱私和敏感數(shù)據(jù)的安全保護問題,在前期提出的基于自主可控機制的安全云存儲模型ASOM(All Self-Organization Model)基礎上,對MDSS端元數(shù)據(jù)的管理操作、MDSS和DMS之間的通信過程做進一步優(yōu)化,針對ASOM模型實際場景引入鎖思想實現(xiàn)兩個節(jié)點一致性的Co-Work算法,完成MDSS和DMS節(jié)點之間的協(xié)同工作和數(shù)據(jù)的一致性保持。同時,考慮網(wǎng)絡帶寬對ASOM中讀寫效率的影響,引入隨機表機制,改變DSS上報的時間結點,以提高ASOM整體讀寫效率。測試結果表明:執(zhí)行Co-Work算法后的ASOM模型實現(xiàn)了數(shù)據(jù)的物理與邏輯隔離,保證用戶對元數(shù)據(jù)的自主控制和管理,而且隨著數(shù)據(jù)尺寸增大讀寫效率明顯提高,在數(shù)據(jù)達到1 GB時讀寫效率提高了12%。
[Abstract]:Aiming at the security protection of user privacy and sensitive data in cloud storage platform, based on the security cloud storage model (ASOM (All Self-Organization Model) based on autonomous and controllable mechanism, the management operation of MDSS metadata is proposed in this paper. The communication process between MDSS and DMS is further optimized. The lock idea is introduced into the ASOM model to implement the Co-Work algorithm for the consistency of two nodes. The cooperative work between MDSS and DMS nodes and the consistency of data are achieved. At the same time, considering the influence of network bandwidth on the efficiency of reading and writing in ASOM, the random table mechanism is introduced to change the time node reported by DSS, so as to improve the overall reading and writing efficiency of ASOM. The test results show that the ASOM model after the implementation of the Co-Work algorithm realizes the physical and logical isolation of the data, ensures the user's autonomous control and management of the metadata, and improves the efficiency of reading and writing with the increase of the size of the data. When the data reaches 1 GB, the efficiency of reading and writing is increased by 12.
【作者單位】: 廣東工業(yè)大學計算機學院;
【基金】:國家科技支撐計劃課題(No.2015BAK19B03) 廣州市科技計劃項目(No.2014XYD-007) 教育部留學回國人員科研啟動基金(No.14ZK0152)
【分類號】:TP333;TP309
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本文編號:2369854

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