The resource monitoring capability allows you to determine the overall underlying infrastructure by monitoring basic system resources, such as memory and heap space or CPU utilization.
资源监测能力允许你通过监测基本系统资源全面测定内部基础结构，例如内存和堆空间或者CPU的使用情况。
However, if your application is deployed on a multiprocessor system or USES a very large heap, you may get some performance boost from changing collector options.
不过，如果您的应用程序是部署在多处理器系统上或者使用非常大的堆，那么改变收集器选项可能会有巨大的性能提升。
These fluctuations in the heap size can slow down the application and are unnecessary if the physical memory is not needed for anything else running on the same system.
堆大小的这些上下浮动可能会降低应用程序的速度，但如果同一系统上运行的其他程序不需要物理内存，则没有必要这样。
You can use the snapshot report to derive information such as the buffer pool hit ratio, amount of sort heap overflows, and the system workload.
您可以使用快照来获得诸如缓冲池命中率、排序堆溢出的次数以及系统工作负载之类的信息。
Tune the federated system for local processing in the areas of application heap, statement heap, buffer pool, sort heap, and temp tablespace.
为应用程序堆、语句堆、缓冲池和临时表空间这些区域中的本地处理调优联邦系统。
Information about system configuration can include the size of the buffer pool, the sort heap, and more.
关于系统配置的信息包括缓冲池的大小、排序堆的大小等等。
Paging can occur when there is insufficient system memory to support the chosen heap size along with the other processes running on the system.
当系统内存不足以支持所选择的堆大小和系统中正在运行的其他进程时，将出现分页情况。
This kind of analysis is best done from a heap or system dump.
这种分析最好从一个堆或系统转储进行。
Direct system calls to gather information about parameters (like memory heap usage) don't seem to exist.
好像不存在收集参数信息(比如内存堆的使用)的直接的系统调用。
For example, some software providers may choose a self-managed heap space, while others rely on the underlying operating system (OS) for such functionality.
例如，有些软件提供商可能选择自我管理的堆空间，而其他软件提供商则依赖底层操作系统(OS)来获得这样的功能。
Our experiments show that, for heap size larger than 512 MB, major GC takes more than five seconds, which causes the system to destabilize.
我们的实验显示，对于大小超过512MB的堆，多数GC花费的时间都会超过5秒，并且会使系统不稳定。
Larger objects mean a bigger heap to hold the same amount of data while maintaining similar GC performance, which makes the OS and hardware memory system slower.
更大的对象意味着用更大的堆来保存相同大小的数据，同时维持类似的gc性能，这会拖慢操作系统和硬件内存系统。
To understand what is going on, we need to familiarize ourselves with how the JVM USES system memory for its heap.
要理解其中的缘由，我们必须熟悉JVM如何将系统内存用作它的堆。
A poorly functioning system will back wasteful schemes and shun worthy ones, trap people in the present, heap risk on them and slow economic growth.
一个表现差劲的金融体系就会汰良留劣，让人局促无措，机关重重，并拖累经济增长。
To gather more data, you can produce a system dump instead of a heap dump on an OutOfMemoryError exception.
为了收集更多的数据，您可以在OutOf MemoryError异常上生成一个系统转储文件，而非堆转储文件。
If the system is very heavily loaded or if the heap is smaller so that collections happen more frequently, the optthruput policy may not give better maximum response times.
如果系统超载很严重，或者由于堆太小而引起频繁收集，那么optthruput策略可能不会提供较好的最大响应时间。
If this k-cluster becomes full, the system continues as normal and USES the remainder of the heap for the processing.
如果这个k -cluster已满，系统会正常继续并会使用heap的其余部分进行处理。
Using the operating system: Use the nondestructive gcore command or the destructive kill -6 or kill -11 commands to produce a core file. Then, extract a heap dump from the core file using jmap
使用操作系统：使用“无害”的gcore命令或破坏性的kill -6 或 kill -11命令来生成一个内核文件。
From a Business Events perspective, consider reducing the heap size and, if the Business Events database repository is local, consider moving the database to a remote system.
从BusinessEvents的角度看，应该考虑减少堆大小，如果Business Events的数据库是本地的，则考虑将其迁移到远程系统。
Otherwise the heap is enlarged via the BRK system call (implementation) to make room for the requested block.
但是如果堆的空间不能满足程序的内存申请，那么brk函数会执行系统调用(implementation)来增加堆的内存空间以满足程序的请求。
You can see all running activities, their heap usage and what the threads are doing. The system sums up the time taken for each thread for you, very nice.
通过它，你可以看到所有运行着的活动、堆使用率和线程工作状况，而且控制系统还将每个线程消耗的时间作自动加和。
This thesis proposes a new type of requirement-kernel dynamic memory management design scheme Extendable-Multi-Heap System. Moreover, the thesis implements a software kit.
在此基础上提出了一种新型的以需求为中心的动态存储器管理方案-可扩展多堆系统，并实现了可供用户使用的软件包。
Scalable Collections on a multiprocessor system running the server version of the execution engine (MSCorSvr. DLL), the managed heap is split into several sections, one per CPU.
可扩展的集合在多处理器系统上运行的执行引擎的服务器版本(mscorsvr。DLL)，托管堆分成几个部分，每一个CPU。
Scalable Collections on a multiprocessor system running the server version of the execution engine (MSCorSvr. DLL), the managed heap is split into several sections, one per CPU.
可扩展的集合在多处理器系统上运行的执行引擎的服务器版本(mscorsvr。DLL)，托管堆分成几个部分，每一个CPU。
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