A resource allocation method, device and system

Abstract

The present invention provides a resource allocation method, device and system. The method includes: building a resource allocation linked list to record the identification information of the server node in the target cache server system, the port number of the port in the current server node and the current port allocation state; receiving A cache service request command carrying a cache service type sent by an external client; query the resource allocation list to determine at least one target server node corresponding to the cache service type, and a target port in an unallocated state under the current target server node; The target server nodes respectively send resource allocation request commands carrying the port numbers of the target ports in the current target server node, so that each target server node starts the cache service corresponding to the target port according to the port numbers carried in the received resource allocation request commands process. Through the technical scheme of the invention, the resource utilization rate of the cache server system can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a resource allocation method, device and system. Background technique [0002] With the continuous development of Internet technology, cloud computing as an Internet-based computing service model has also been widely used. The cloud computing platform can provide users with data caching and other services according to their actual business needs; Cache service is a huge challenge for cloud computing platforms. Traditional relational databases are often difficult to meet this requirement. Usually, it is necessary to use a cache server system with multiple server nodes equipped with a Key-value database (such as Redis) to achieve Highly reliable massive data cache service. [0003] However, since key-value databases such as Redis do not have tenant concepts and distributed computing functions, the cache server system equipped with key-value databases cannot provide cache...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of Internet technology, cloud computing as an Internet-based computing service model has also been widely used. The cloud computing platform can provide users with data caching and other services according to their actual business needs; Cache service is a huge challenge for cloud computing platforms. Traditional relational databases are often difficult to meet this requirement. Usually, it is necessary to use a cache server system with multiple server nodes equipped with a Key-value database (such as Redis) to achieve Highly reliable massive data cache service

[0003] However, since key-value databases such as Redis do not have the concept of tenants and distributed computing functions, the cache server system equipped with the key-value database cannot provide cache services to other users, and the resource utilization of the server system is low.

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