Distributed type dynamic cache expanding method and system for supporting load balancing

Abstract

The invention discloses a distributed cache dynamic scaling method and system supporting load balancing, belonging to the technical field of software. The method is as follows: 1) each cache server regularly monitors its own resource utilization rate; 2) each cache server calculates its own weighted load value Li according to the currently monitored resource utilization rate, and sends it to the cache cluster manager; 3) cache The cluster manager calculates the current average load value of the distributed cache system according to the weighted load value Li. When it is higher than the threshold value thrmax, it performs an expansion operation; when it is lower than the set threshold value thremin, it performs a contraction operation. The system includes a cache server, a cache client and a cache cluster manager; the cache server is respectively connected to the cache client and the cache cluster manager through a network. The invention guarantees the balanced distribution of network traffic among each cache node, optimizes the utilization rate of system resources, and solves the problems of guaranteeing data consistency and continuous availability of services.

Description

technical field [0001] The invention relates to a distributed cache dynamic scaling method and system thereof, in particular to a distributed cache dynamic scaling method and system supporting load balancing, and belongs to the field of software technology. Background technique [0002] In the cloud computing environment, the number of users and network traffic have experienced explosive growth. How to provide good support for large-capacity and business-critical transaction processing applications on the basis of cheap and standardized hardware and software platforms has become a problem faced by many enterprises. . Usually the server-side bottleneck occurs in the database. In order to further solve this problem, distributed caching technology is introduced. Distributed cache shortens the distance between clustered object data and applications, and is a key technology to accelerate data access and provide distributed data sharing. This technology plays a very important rol...

AI Technical Summary

Problems solved by technology

Aiming at the problem of data balancing during dynamic scaling, the method of the present invention considers the impact of hot data on system availability, and proposes a load balancing method suitable for heterogeneous environments

Aiming at the problem of guaranteeing data consistency during dynamic scaling, the present invention implements a data access protocol based on three-stage requests. At the same time, in order to eliminate the impact of data migration on system availability as much as possible, the present invention adopts a controlled data The migration method effectively controls the migration progress and reduces migration overhead

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