Improved virtual memory scalability.
虚拟内存伸缩性的改进。
The purpose was not to run a typical database benchmark with huge memory and storage server requirements, but rather to test CPU and process scalability.
目的不是运行一个典型的、具有大量内存和存储服务器需求的数据库基准，而是测试CPU和进程的可伸缩性。
Apart from these scalability and memory usage issues, the existing application's compatibility also needs to be handled.
除了这些可伸缩性和内存使用问题，现有应用程序的兼容性也需要处理。
Larger physical memory improves the scalability of the database, so using a 64-bit instance is preferable.
大型物理内存能够改进数据库的可伸缩性，因此最好使用一个64位实例。
Partitioning can improve scalability on some systems that use large memory configurations with many CPUs.
对于一些使用大容量内存和多个CPU的系统，分区能够改善可伸缩性。
By separating the memory and processor, systems will have access to a larger memory pool with better scalability which could help boost application performance, IBM said.
IBM称，通过将内存和处理器分离开来，系统将会利用到更大的内存池，有更好的扩展性，从而达到提升应用程序性能的目的。
Scalability is also provided with the capability to perform streaming transformations that can handle large XML documents without running out of memory.
可扩展性用有执行流转换的能力，可以处理大xml文件而不会耗尽内存。
The traditional limiting factors for scalability are access to CPU, memory, and I/O.
可伸缩性的传统制约因素是对CPU、内存和I/O的访问。
The Developer edition includes all the functionality available in the Informix-Ultimate edition but does contain scalability constraints including processing, memory and storage limitations.
虽然DeveloperEdition包括可用于Informix - ultimate版的所有功能，但是也包含可扩展性限制，包括处理、内存和存储限制。
Ray says that if you're consolidating to a small number of systems that can support large memory configurations, you should consider partitioning to achieve even greater scalability.
Ray认为，如果您正在合并几个支持大内存的系统，那么就应该考虑使用分区来实现更大的伸缩性。
A 64-bit environment and the ability to address more than 4 GB of memory can greatly enhance the scalability and performance of databases.
位环境以及解决大于4GB内存的能力，可以大大增强数据库的可伸缩性和性能。
We have been able to achieve improved scalability in terms of users supported on all the platforms, primarily by reducing CPU and memory usage on the Domino 7 server for Domino Web Access users.
我们能提高所有平台上受支持的用户的可伸缩性，主要是通过减少Domino7服务器上DominoWebAccess的CPU和内存使用情况来实现的。
Clustering in AS5 supports buddy replication for SFSBs for improved scalability and passivation for clustered web sessions to control memory usage.
为了改进可伸缩性和集群Web会话的钝化，AS 5中的集群支持SFSB的Buddy复制，以控制内存的使用。
Kernel 2.6.28 includes a number of scalability enhancements related to memory.
Kernel2.6.28包含了与内存有关的大量的伸缩性改进。
NET interface for querying the datastore in a pure SQL manner, but the keys and indexes are stored in memory to provide high scalability, availability and better performance.
SQLFire提供了一个JDBC与ADO.NET接口，用于以纯s QL的方式查询数据库，但键与索引却是存放在内存中以提供高可伸缩性、可用性及更棒的性能。
With lower CPU usage, improved memory savings, and an increase of 50 percent more users supported, Domino 7 continues to improve on the scalability, performance, and TCO when compared to Domino 6.5.
使用更少的CPU资源，节省内存，并且支持的用户数增加了50%。与Domino 6.5相比，Domino7在可伸缩性、性能和TCO方面继续得到改进。
This improves the IBM J2SE SDK's memory footprint, start-up time, and performance characteristics and provides both scalability and serviceability enhancements to the IBM J2ME SDK.
这改进了J2SEIBM 实现的内存占用量、启动时间和性能，并改进了 J2ME IBM 实现的可伸缩性和可服务性。
It has in-memory speed to facilitate Internet searches and complex text matching combined with the scalability and availability characteristics of a relational database.
它在Web上具有在内存中运行般的速度，使因特网搜索和复杂的文本匹配变得更容易，同时还融合了关系数据库的可伸缩性和可用性特征。
The empirical results manifest that the system can achieve a higher detection rate and a low rate of false positives, with adaptability and scalability, and effectively reduce the demand for memory.
实验结果表明，该系统可以取得较高的检测率和较低的误报率，具有自适应性和可扩展性，并有效降低了对内存资源的需求。
Collaborative filtering can be divided into memory based and model based. The former is more accurate while the latter performs better in scalability.
协同过滤技术分为基于内存和基于模型两种，前者的推荐准确度更高，但可扩展性比后者低。
Improper use of parsing technology leads to excessive consumption of memory, long time of processing, thus affects the scalability.
不合适的解析会导致过度的内存消耗和过长的处理时间，从而有损于可伸缩性。
Distributed systems, scalability, fault tolerance, Shared memory, transactions, two-phase commit.
分布式系统，可伸缩的，容错的，分享内存，事务，二阶段提交。
Several existed models for scalability analysis are introduced. The time-constraint and memory-constraint speedup laws are analyzed from a new viewpoint.
分析了几种已有的可扩性分析模型，并对传统的时间受限与存储受限加速比定律作了新的解释。
Several existed models for scalability analysis are introduced. The time-constraint and memory-constraint speedup laws are analyzed from a new viewpoint.
分析了几种已有的可扩性分析模型，并对传统的时间受限与存储受限加速比定律作了新的解释。
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