摘要
针对因云计算环境数据基数较大、数据种类过多、特征难提取,导致的数据储存比例失衡问题,提出一种内存数据库负载均衡优化算法。根据云计算环境下内存数据的数据特征、状态等参数,建立负载失衡问题模型,将存在问题的数据代入,求得负载率和虚拟资源参数关联变化。考虑到云计算环境下数据基数过大、数据离散性强的问题,将内存数据看作为分布复杂的资源网络,数据点看作网络节点,求解节点跟随网络状态发生的位置、速度以及状态更改,建立数据负载率的位置与更新速度规则,求解不同数据的负载均衡尺度,并排列优先级顺序,采集内存数据库参数输入至负载尺度函数中求解,根据每个数据点的最新负载尺度实行重新配比调整,完成均衡优化。实验结果表明,所提方法的负载均衡优化效率和效果较好,环境适应能力强。
Aiming at the problem of imbalanced data storage ratio caused by big databases,excessive data types and difficult feature extraction in cloud computing environments,this article proposed a load balancing optimization algorithm for memory databases.According to the characteristics and status of memory data in cloud computing environments,we built a model about load imbalance,and put the problematic data into it to obtain the correlation change between load rate and virtual resource parameter.Considering that the base of big data was too large and the discreteness of data was too strong in cloud computing environments,we regarded the memory data as a complex resource network and treated the distributed data points as network nodes.Then,we solved the changes of position,speed and state of nodes following the network state.Moreover,we determined the position of the data load rate and established the update speed rules.Furthermore,we calculated the load balancing scales of different data and arranged them in priority order.Finally,we collected the parameters of the memory database and input them into the load-scale function for a solution.According to the latest load scale of the data point,we performed the reassembly and adjustment,thus completing the balanced optimization.Experimental results show that the proposed method has better efficiency and effect on load balancing optimization,as well as strong environmental adaptability.
作者
刘晓彤
邓敦杰
LIU Xiao-tong;DENG Dun-jie(School of Artificial Intelligence and Big Data,Chongqing Metropolitan College of Science and Technology,Chongqing 402100,China;Ocean Engineering College,Guilin University of Electronic Technology,Beihai Guangxi 536000,China)
出处
《计算机仿真》
2024年第2期317-320,327,共5页
Computer Simulation
关键词
云计算环境
内存数据库
负载均衡优化
虚拟资源
负载失衡
Cloud computing environment
Memory database
Load balancing optimization
Virtual resources
Load imbalance
