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DPARs

网络过氧化物酶体增殖激活受体

DPARs

DPARs

DPARs

过氧化物酶体增殖激活受体

目的综述过氧化物酶体增殖激活受体(DPARs)的结构、功能,以及3种亚型PPARα,PPARδ和PPARγ的各自配体及其在糖尿病治疗 …

1

At any given instant , you do not know which workload is being directed at your DPARs by your end users .

在任何给定时刻，您不知道哪些工作量是您的最终用户正在 DPAR 上处理的。

2

In terms of performance and utilization of resources , it is usually better to consolidate onto as few DPARS as possible .

考虑到性能和资源利用，通常应该尽可能地合并 DPAR ，使 DPAR 个数越少效果会越好。

3

You do not need to enable the Collect task across all your DPARs, only on those that collect the information for you .

您不需要在所有 DPAR 上启用 Collect 任务，只需在将为您收集信息的那些 DPAR 上启用即可。

4

Customers tend to use the Domino transaction count (server. trans. total) as a way of measuring the workload going through their DPARs.

客户往往使用 Domino 事务处理计数（server.trans.total ）作为测量通过其 DPAR 的工作量的一种方式。

5

Document the results obtained (up to 28 percent CPU usage improvement ) from our upgrade of the production DPARs.

记录从生产 DPAR 升级中获得的结果（多达 28%的 CPU 使用率改善）。

7

In fact , there is no direct correlation between the transaction counts on your DPARs and your CPU utilization .

事实上，DPAR 和 CPU 利用率上的事务处理计数之间没有直接的关联。

9

This may allow you to consolidate two DPARs into one on a new piece of hardware that you plan to buy .

这可能允许您将两个 DPAR 合并为您计划购买的新硬件上的一个 DPAR 。

10

If you fast-forward a bit into the future , however , you notice that your DPARs are taking more CPU resources than your sizing projected .

但是，如果快进到不久的将来，您会注意到 DPAR 会使用比预测分级更多的 CPU 资源。

11

This trend reflects the typical usage of our active users on these DPARs over the year .

这种趋势反映了一年来在这些 DPAR 上活动用户的典型使用情况。

12

If you size your server based on your DPARs during the month of August , you may be underestimating your requirements .

如果基于 8月的 DPAR 来分级服务器，则可能会低估您的要求。

13

As you can see , the user activity on the newly consolidated DPAR was much heavier than on the original DPARs.

可以看到，新合并的 DPAR 上的用户活动比原来的 DPAR 上的用户活动更繁重。

14

parameter , you can have a significant impact to the server. user number , even though the throughput rates on your DPARs remain the same.

通过改变 SERVER_SESSION_TIMEOUTNotes.ini 参数，您可以对 server.user 数产生重要影响，哪怕 DPAR 吞吐率仍然是相同的。

15

This allows the DPARs to occasionally synchronize the databases on each side of the cluster and to ensure that they are identical .

计划复制允许 DPAR 不时同步集群每个端上的数据库，并确保它们是完全相同的。

16

17

Certain business cycles may also drive a higher or lower level of activity on your DPARs.

特定业务周期可能会驱动 DPAR 上更高或更低级别的活动。

18

Plus, SLES 9 is a 64-bit operating system , and multiple Domino partitions (DPARs) can be installed in a single LPAR.

另外，SLES9 是一个 64 位的操作系统，多个域分区（DPAR ）可以安装到一个 LPAR 中。

19

You should not try to extrapolate the findings from this article to your application DPARs.

您不应期望对您的应用程序 DPAR 获得和本文一样的结果。

20

21

First , the original DPARs were resource constrained on both CPU and disk .

首先，原来的 DPAR 在 CPU 和磁盘方面具有资源约束。

22

The larger the average mail size, the more resources it takes your DPARs to process tasks .

平均邮件越大，DPAR 处理任务所需的资源就越多。

23

You must monitor your DPARs to relate your actual workload and resource usage against your sizing projections .

您必须监控 DPAR ，从而将实际工作量和资源使用与分级预测关联。

24

The average size of your mail file impacts how many resources your DPARs need to support your user population .

邮件文件的平均大小影响 DPAR 支持用户数所需的资源数量。

25

We then ran the same 51 K users across six DPARs in the same virtual configuration and determined that cost per user .

然后，在相同的虚拟配置中，我们在 6 个 DPAR 上运行同样的 51K 用户，并测定每个用户的成本。

26

There are many different factors that can affect the CPU sizing of your DPARs, several of which are discussed below .

有许多不同的因素可能影响 DPAR 的 CPU 分级，下面将讨论其中几个因素。

27

In figure 1 , you can see the yearly trend of active 15-minute users on a set of production DPARs at IBM .

在图 1 中，您可以看到 IBM 的一组生产 DPAR 上 15 分钟活动用户的年趋势。

28

Because the response time from these DPARs deteriorated, users used them as little as possible.

因为来自这些 DPAR 的响应时间变长，所以用户尽量不使用它们。

29

There are approximately 7 K production users in each kernel , with each guest running multiple DPARS.

每个内核中大约有 7K 生产用户，每个 guest 运行多个 DPAR 。

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