Data monitoring method based on cloud computing

Abstract

The invention provides a data monitoring method based on cloud computing. A user file is verified through adoption of a full storage tree. The full storage tree specifically comprises the fact that the full storage tree is established by taking a balance binary search tree as a basic structure; each node of the full storage tree stores the following content: 1), a file block m at the node; 2), a hash value H=H(m) of the file block of the node; 3), a joint hash value H<sum>(i), wherein if the i is a leaf sub-node, the H<sum>(i) is equal to the Hi, otherwise, the hash value of a father node is solved according to the hash value of the ith sub-node of the node, iterative calculation is carried out until the hash value of a root node of the full storage three, namely the hash value H(Root) of the whole full storage tree, is obtained. The method comprises the steps of (1), storing data; (2), initiating a verification request; (3), generating a verification message; and (4), carrying out verification. According to the method provided by the invention, the data processing efficiency is improved and the occupied storage space is reduced.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a data monitoring method based on cloud computing. Background technique [0002] Cloud computing is a computing model that can dynamically search for virtualized resources and provide them to users through the Internet as a service. In the cloud computing mode, users do not need to build or manage these resources, but can directly use the resources provided by the cloud computing service provider on an as-needed basis. Cloud computing regards IT resources, data, and applications as a service and provides them to users through the network. This is a change in service methods and a change in the shared data model. For cloud computing service providers, the cloud computing model improves resource utilization and greatly reduces service costs. For example, Google invests US$1.6 billion in building a cloud computing data center every year, and the capacity obtained is equivalent to in...

AI Technical Summary

Problems solved by technology

The 2012 China Cloud Security Survey shows that the respondents are not at ease about cloud security issues, and 88.2% of the respondents believe that no service provider can solve their security issues at present

In October 2011, a disk error occurred on the Alibaba Cloud storage server, and a restart operation was performed during the maintenance process, resulting in the loss of TeamCola’s data

In August 2012, Shanda Cloud stated that due to the damage of a physical server disk, individual user data was lost, which caused users to have great doubts about the disaster recovery mechanism of the cloud.

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