Distributed type dynamic cache expanding method and system supporting load balancing

Abstract

The invention discloses a distributed type dynamic cache expanding method and system supporting load balancing, which belong to the technical field of software. The method comprises steps of: 1) monitoring respective resource utilization rate at regular intervals by each cache server; 2) calculating respective weighing load value Li according to the current monitored resource utilization rate, and sending the weighting load value Li to a cache clustering manager by each cache server; 3) calculating current average load value of a distributed cache system by the cache clustering manager according to the weighting load value Li, and executing expansion operation when the current average load value is higher than a threshold thremax; and executing shrink operation when the current average load value is lower than a set threshold thremin. The system comprises the cache servers, a cache client side and the cache clustering manager, wherein the cache servers are connected with the cache client side and the cache clustering manager through the network. The invention ensures the uniform distribution of the network flow among the cache nodes, optimizes the utilization rate of system resources, and solves the problems of ensuring 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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