Cache expansion method, device and storage medium based on cloud storage architecture

Abstract

The present disclosure provides a cache expansion method, device and storage medium based on a cloud storage architecture, wherein the method includes: formatting the cache medium, generating a cache, and setting a management area and a block group in the cache; Formatting, so that the block group contains metadata area and data area; the data area of ​​all block groups is formed into a continuous logical address space provided to the client; when receiving an online expansion command, the newly added block is formatted Group and modify management data in the management area. The method, device and storage medium of the present disclosure solve the problem that traditional capacity expansion can only be achieved by increasing the number of blocks in the block group by dividing the cache in a block group manner and expanding the capacity in units of block groups during expansion. To solve the problem of capacity expansion, on the premise that the client business is not interrupted, the cache can be efficiently expanded online without additional data migration.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, and in particular, to a cache expansion method, device and storage medium based on a cloud storage architecture. Background technique [0002] At present, in the design of cloud storage architecture, the system performance is improved by accelerating data access through caching. Due to the limitation of the cache size, the cached data is time-sensitive, and expired data will be cleared out of the cache. As the amount of data in the business system increases, the cache hit rate gradually decreases, resulting in degraded system performance. In order to ensure that the system performance does not degrade, it is often necessary to increase the cache hit rate by increasing the cache capacity after the system is interrupted. However, the existing capacity expansion method cannot meet the business scenarios that must work 7*24 hours a day. SUMMARY OF THE INVENTION [0003] In view of...

AI Technical Summary

Problems solved by technology

Due to the limitation of the cache size, cached data is time-sensitive, and expired data will be cleared out of the cache

As the data volume of the business system increases, the cache hit rate gradually decreases, resulting in a decrease in system performance

In order to ensure that the system performance does not decline, it is often necessary to increase the cache hit rate by increasing the cache capacity after the system is interrupted, but the existing expansion methods cannot meet the business scenarios that must work 7*24 hours a day

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