Capacity acquisition method and device

Abstract

The invention provides a capacity acquisition method and device applied to a CDV in a cloud storage CDS system. The method comprises the steps that bits with a value being a first preset value in a slice bit image area are acquired, wherein the first preset value indicates that slice data blocks corresponding to the bits are occupied; data types of data in the slice data blocks corresponding to the bits with the value being the first preset value are determined; the number of the bits, with the value being the first preset value, corresponding to each data type is determined; and used capacity of the data of each data type in a corresponding slice data area is determined based on the number of the bits and the capacity of the slice data blocks. By use of the method, the used capacity of logic resources in the CDV can be acquired accurately and efficiently.

Description

technical field [0001] The present application relates to the field of storage technologies, and in particular to a capacity acquisition method and device. Background technique [0002] When the video surveillance system is combined with the CDS (Cloud Direct Storage, cloud storage) system, after the front-end equipment (for example, bayonet) in the video surveillance system collects the monitoring data, it first sends the monitoring data to the main CDV (Cloud Data storage) in the CDS system. Virtual cloud, cloud data storage) node server (hereinafter referred to as CDV) requests storage node information, and the master CDV selects one of the CDVs according to the load balancing strategy according to the resource usage of other CDVs recorded, and the information of the selected CDV ( For example, the device code) is returned to the front-end device, and then the front-end device requests the selected CDV to allocate logical resources, and writes monitoring data into the all...

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Problems solved by technology

[0004] It can be seen from the above description that when the occupancy of logical resources in other CDVs changes, the current used capacity is updated by adding and subtracting operations in the memory. Since there may be unpredictable addition and subtraction failures, it is very likely that As a result, the resource usage of other CDVs acquired by the main CDV does not match the actual resource usage. Then, the logical resources in the CDV may not be fully utilized, or overflow may occur.

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