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Method for cloud disaster recovery data backup based on game theory
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A technology of data backup and game theory, which is applied to the redundancy in computing for data error detection, electrical digital data processing, and response error generation. Effect
Active Publication Date: 2016-10-26
CHANGCHUN UNIV OF SCI & TECH
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[0005] The present invention provides a cloud disaster recovery based on game theory to solve the problem that the existing data backup method has relatively large resource consumption and high storage cost, and at the same time ignores the influence of the behavior of the source-end cloud provider on the target-end cloud provider. data backup method
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specific Embodiment approach 1
[0050] Specific implementation mode 1. Combination figure 1 and figure 2 Describe this embodiment, the cloud disaster recovery data backup method based on game theory, this method is realized by the following steps:
[0051] A. The user backs up the data to different source cloud providers SCPi, i=1,2,...n, n represents the number of available source cloud providers; for data security and integrity requirements And considering economic factors, the source-end cloud provider SCP needs to back up its own user data to another cloud service provider, that is, the destination-end cloud provider DCP. The destination cloud provider DCP includes multiple destination storage nodes D_nodej with variable storage prices (j=1, 2, . . . , m, where m represents the number of available storage nodes included in the destination cloud provider DCP). The destination storage node D_nodej dynamically adjusts the storage price according to the amount of data backed up by the source cloud provide...
specific Embodiment approach 2
[0088] Specific embodiment two, combine Figure 1 to Figure 9 Describe this implementation mode, this implementation mode is the embodiment of the cloud disaster recovery data backup method based on game theory described in specific implementation mode 1:
[0089] a. The user backs up data to different source cloud providers SCP1, SCP2, SCP3, SCP4, SCP5 respectively. to combine figure 1, each source cloud provider SCP1, SCP2, SCP3, SCP4, SCP5 needs to back up its own user data to another cloud service provider, namely the destination cloud provider DCP. DCP contains three destination storage nodes D_node1, D_node2 and D_node3 with variable storage prices. The destination storage nodes D_node1, D_node2, and D_node3 dynamically adjust the storage price according to the amount of data backed up by the source cloud providers SCP1, SCP2, SCP3, SCP4, and SCP5.
[0090] b. Model the dynamic interaction process between the source cloud provider SCP1, SCP2, SCP3, SCP4, and SCP5 and ...
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Abstract
A method for cloud disaster recovery data backup based on a game theory relates to the technical field of data backupdisaster recovery, and solves the problems in an existing data backup method that the resource cost is high, the storage cost is high, and influences of behaviors of source end cloud suppliers on a target end cloud supplier are neglected. The method for optimal data backup in a cloud disaster recovery environment based on the game theory provided by the invention is characterized in that interaction between the source end cloud supplier and the target end cloud supplier is simulated into a storage resource pricing model; and storage resource leading courses among backup nodes of the target end cloud supplier are modeled into a gaming course which pursues maximum benefits. The invention also provides a method for quantitative computation of optimal solutions of a storage resource quantity and a storage resource price, so that benefits of both gaming parties, namely the source end cloud supplier and the target end cloud supplier can be maximized simultaneously.
Description
technical field [0001] The invention relates to the technical field of data backup and disaster recovery, in particular to an optimal data backup method in a cloud environment based on game theory. Background technique [0002] With the development of information technology, the value of data continues to increase, and people's dependence on network data is gradually increasing, especially financial or official data. Even a small part of data loss or short-term downtime may affect the lives and property of the people. cause great harm. Therefore, data disaster recovery technology has received extensive research and attention. People usually back up data copies in different geographical locations to meet data reliability requirements. However, traditional data storage deployment methods are resource-intensive. The low cost, on-demand purchase and dynamic nature of cloud storage make it gradually become the best choice for data backup. [0003] In recent years, cloud stora...
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