利用事务管理模型提高互联网应用效率的方法  

Methods of Improving the Efficiency of Internet Application by Using Transaction Management Model

作　　者：苗堃 陈垒 李超 郭宁 翟璇 石卓鑫 Miao Kun;Chen Lei;Li Chao;Guo Ning;Zhai Xuan;Shi Zhuoxin(State Grid Henan Electric Power Company Jiyuan Power Supply Branch,Jiyuan Henan 459000,China)

机构地区：[1]国网河南省电力公司济源供电公司,河南济源459000

出　　处：《电气自动化》2022年第2期61-64,共4页Electrical Automation

基　　金：河南重大科技项目(HN2019KJK001200043)。

摘　　要：在互联网技术应用中,容易出现信息易堵塞、运行效率低等问题。针对此类问题,构建了一种事务管理模型,实现底层事务的可视化管理;并构建自动化、智能化管理系统,通过事务的优先级级分配,实现事务的队列分配,通过遗传算法对事务总价最大值的求解来实现对事务的最优化管理问题。试验结果表明,采用本研究设计的遗传算法事务管理模型,事务总价值可以达到62,高于最小事务空闲时间法的58、价值最大优先法的55和价值比最高优先法的51。In the application of Internet technology,many problems are prone to occur,such as easy congestion of information and low operating efficiency.In response to such problems,a transaction management model can be constructed to realize the visual management of the underlying transactions;and an automated and intelligent management system can be built to realize the queue allocation of the transactions through the priority assignment of the transactions,and the genetic algorithm is used for the total transaction management.Solving the maximum value of the price can realize the optimal management problem of the transaction.The test results show that through using the genetic algorithm transaction management model designed in this research,the total transaction value can reach 62,which is higher than the 58 of the smallest transaction idle time method,the 55 of the highest value priority method,and the 51 of the highest value priority method.

关 键 词：事务管理模型 电力调度数据网 业务优先级 智能电网 遗传算法 

分 类 号：TM73[电气工程—电力系统及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]