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  • The default latency is 10 seconds.

    默认延迟时间是10秒。

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  • Is there a network latency problem?

    存在网络延迟问题吗?

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  • Figure 16b. Latency in milliseconds.

    图16b.延迟时间(毫秒)。

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  • Figure 13b. Latency in milliseconds.

    图13b.延迟时间(毫秒)。

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  • Next up is the network latency issue.

    接下来就是网络延迟问题了。

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  • Figure 15 shows a latency of five seconds.

    图15展示了一个5秒的延迟。

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  • Journaling options and write latency.

    日志记录选项和写等待时间。

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  • Reduce the latency of business events.

    减少业务事件的等待时间。

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  • More important even than latency is jitter.

    更重要的是抖动,比起延迟都还要重要。

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  • This introduced unnecessary node hop latency.

    这导致了不必要的节点跳转延迟。

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  • You also gain low latency and high availability.

    您还可以实现低延迟和高可用性。

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  • Our measurements of latency are all two-hop timings.

    我们衡量延迟的标准是两跳计时。

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  • The downside is that this will increase latency.

    不利的方面是,这将增加延时。

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  • Moreover, the costs for latency will also be low.

    此外,延时成本也会十分低。

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  • Lower latency from EC2 instances to their clients.

    降低从ec2实例到其客户的响应时间。

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  • The average latency is something like 210 microseconds.

    平均延迟大约为210微秒。

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  • This pause introduces a latency in your application.

    这段暂停使应用程序产生一个延时。

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  • With latency and jitter, you pay more when you want less.

    对延迟和抖动,你想降低就得多花钱。

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  • Interactions with partners are slowed by Internet latency.

    与伙伴的交互因因特网延迟而变慢。

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  • Low latency: Guaranteed response to signals in bounded time.

    低延迟:确保在有限时间内响应信号。

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  • "Latency" and "Bandwidth" are measures of the network's status.

    “延迟时间”和“带宽”是网络状态指标。

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  • Network latency is also different from application latency.

    网络延时与应用程序延时不同。

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  • It also reduces interaction latency between clients and servers.

    它还降低了客户端和服务器之间的交互延迟。

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  • Average latency and the trend are shown underneath the graph.

    在图的底部显示了平均延时和趋势。

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  • Database overflow can introduce latency into the event processing.

    数据库溢出可能导致事件处理的延迟。

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  • Thus, the results obtained here don't include network latency.

    因此,这里获得的结果不包括网络延时。

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  • For instance, they may increase data latency and create data redundancy.

    例如,它们可能会增加数据延迟和导致数据冗余。

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  • For instance, they may increase data latency and create data redundancy.

    例如,它们可能会增加数据延迟和导致数据冗余。

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