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分布式计算机网络,是现代比较常见的一种计算机网络,而想要从分布式计算机网络进行优化,主要就是通过对网络吞吐量、利用率和网络方面这三方面进行分析。而且采用的算法也与一般的算法不同,基本都是采取遗传算法,这样就能对分布式计算机网络进行多目标的优化。采取以上方法,能够最大程度的提高网络的总体性能。并且在仿真性的实验中,还能根据以上的数据看出优化的可行性和高效性。
Distributed computer network is a kind of computer network which is more common in modern times. To optimize from distributed computer network, we mainly analyze the network throughput, utilization and network aspects. And the algorithm used is also different from the general algorithm, the basic are to take genetic algorithms, so that distributed computer networks can be multi-objective optimization. To take the above approach, to maximize the overall network performance. And in the simulation experiment, but also based on the above data to see the feasibility and efficiency of optimization.