我正致力于在 Java开展一个多功能项目,我正在努力改进我如何收集超常衡量结果。
我目前的设置是,定期发送一批UDP包裹,由服务器篡改,然后退回,然后计算和记录相应费用。 然后,我抽取样本数,以达到排位平均数。
这似乎是一种合理的解决办法,可以解决客户方面的相对问题?
您也可以使用游戏规程中所用的时间包。 因此,你将掌握更多数据,以纳入你的统计。 (这一方法也有助于避免因额外拨付数据而产生的间接费用。) 你只是利用你已经交换的数据来做你们的统计。
你也可以开始使用其他衡量标准(例如差异),以便更准确地估计你的连接质量。
我的客户时间为即将离任的包裹,其答复保留了原来的时间。 这样,你就可以计算四舍五入,同时回避服务器和客户衣物所造成的任何问题,而并非完全同步。
如果你真的开始项目,则考虑使用一个网络框架,如KryoNet,这个网络有海洋金属和高效的序列化,并将自动通过UDP发送纸浆申请。 你们能够很容易地获得时间价值。
如果你正在测量双轨,诸如24小时漂流、HW锁和OS皮等因素会影响你的衡量。 如果没有在硬件上花钱,那么,最接近的是使用RDTSC指令。 但是,难民高专署没有自己的问题,你必须认真看待它。
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