基于Java多线程技术的通信网络数据传输优化调度方法
Optimum Scheduling Method for Communication Network Data Transmission Based on Java Multi-threading Technology
房宸舒1
作者信息
- 1. 开封文化艺术职业学院计算机学院,河南 开封 475000
- 折叠
摘要
数据传输优化调度是通信网络技术核心,同时也是通信网络运行过程中必不可少的环节,调度方案的优劣直接关系到通信网络性能,但现行方法调度效果并不理想,不仅数据传输速率比较低,而且通信信号强度也比较低,无法达到预期的调度效果,为此提出基于Java多线程技术的通信网络数据传输优化调度方法.以数据传输时延最短、吞吐量最大、丢包率最低为 目标建立数据传输优化调度目标函数,并设定约束条件,构建通信网络数据传输优化调度模型,采用Java多线程技术对模型运行程序编辑,实现模型对通信网络数据传输自动化优化调度,进而实现基于Java多线程技术的通信网络数据传输优化调度.经实验证明,设计方法应用下通信网络数据传输速率和信号强度得到了有效地提高,具有良好的数据传输优化调度效果.
Abstract
data transmission optimization scheduling is the core of communication network tech-nology,is also an essential link in the process of communication network operation,the quality of the scheduling scheme is directly related to the communication network performance,but the current method scheduling effect is not ideal,not only the data transmission rate is low,and the communication signal strength is low,can not achieve the expected scheduling effect,put for-ward the communication network based on the Java multi-thread technology data transmission optimization scheduling method.With the shortest data transmission delay,the largest through-put,the lowest packet loss rate for the target data transmission optimization scheduling function,and set constraints,build data transmission optimization scheduling model of communication network,using Java multi-threaded technology to edit the model running program,realize the model of communication network data transmission automation optimization scheduling,and then realize the communication network data transmission optimization scheduling based on Java multi-threading technology.It is proved that the data transmission rate and signal intensity of the communication network are effectively improved under the design method,and the data trans-mission scheduling effect is well optimized.
关键词
Java多线程技术/通信网络/数据传输/调度/目标函数/约束条件Key words
Java multi-threaded technology/communication network/data transmission/schedu-ling/objective function/constraints引用本文复制引用
出版年
2024
NETL
NSTL
万方数据