Continuous data protection storage system and storage method using the same
A continuous data protection and storage system technology, applied in the input/output process of data processing, electrical digital data processing, instruments, etc., can solve problems such as high energy consumption, achieve the effects of reducing energy consumption, prolonging service life, and reducing heat
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[0049] Example 1:
[0050] image 3 For 6-disk / two-level space multi-level mapping energy-saving storage system, such as image 3 As shown, it is a two-level space multi-level mapping energy-saving storage system composed of 6 disks: the 6 disks are divided into two groups, and the 0th group includes disks 0 With disk 1 Low-performance disk group, the first group includes disk 2 , Disk 3 With disk 4 High-performance disk group. The parity blocks are evenly distributed among the 6 disks according to the disk layout method mentioned above.
[0051] 1) When the amount of data access is at a low point, the first group is in the standby state, and the 0th group that can meet the system performance requirements is in the active state. At this time, the number of open disks is small, and the data is written into the data sub-block D 0 ~D 7 , D 20 ~D 27 ,…,in.
[0052] 2) When the amount of data access is at a peak, activate the first group, write the data into the first group and switch the
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[0054] Example 2:
[0055] The parameters of the experimental hard disk and server are shown in Table 1: Disk parameters and Table 2: Server parameters.
[0056] Table 1 Disk parameters
[0057]
[0058] Table 2 Server parameters
[0059]
[0060] A two-level grouping MS-RAID5 composed of 6 1T hard disks is configured under the Linux 3.1 kernel, where G 0 Group contains two hard drives, G 1 The group contains three hard drives.
[0061] Use IOMeter tool to generate 80% and 100% continuous write requests for MS-RAID and S-RAID from 2KB to 4096KB through Dynamo load generator on Linux side.
[0062] Write performance experiment:
[0063] Figure 4 Write performance comparison chart for sequential, such as Figure 4 Shown are the performance test results under different load requirements. When the data block is small, the write performance of MS-RAID and S-RAID is not much different; when the data block size exceeds 128KB, the write performance of MS-RAID has been significantly improved. The
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