对二进制内容的优化存储。
数值算例表明优化存储技术的优势。
Numerical experiments show the advantage of optimization storage technique.
压缩通常用于优化存储空间，且可在以下任一位置处设置。
Compression is usually set to optimize storage space and can be set at any one of the following locations.
文件系统通常为递增备份，这是为了最小化备份窗口和优化存储空间。
Filesystems are generally backed up incrementally to minimize the backup window and to optimize storage space.
为了优化存储空间占用量，可以使用DeploymentWizard有选择地安装Informix 11.50产品中的特性(见图1)。
To optimize the storage footprint, you can selectively install features from the Informix 11.50 product using the Deployment Wizard (see Figure 1).
P8在内部使用文件系统目录优化数据的存储和检索。
P8 USES file system directories internally to optimize storage and retrieval of data.
这两个版本在内部细节上不同，如索引系统、优化器和存储引擎。
The two versions differ in internal details like the indexing system, optimizer, and storage engine.
DS8700凭借其可伸缩性、新的存储层优化以及广泛的服务器支持可以满足最为关键的业务应用程序的需求。
DS8700 can meet the needs of the most critical business applications with its scalability, new storage tier optimization, and broad server support.
所以，XML文档可以存储在它们的本地结构中，避免了分解/组合，因此优化了性能。
So, XML documents can be stored in their native structure, avoiding shred/compose and thus optimize performance.
在理想的情况下，注册中心应该针对SOA运行时进行优化，以便能够在运行时期间，使用存储在注册中心的元数据来通过动态路由充实内容。
The registry should ideally be SOA run time optimized so that the metadata stored in the registry can be used to provide enrichment via dynamic routing during run time.
由于属性的可扩展性不如元素，DB 2可以应用某些存储和访问优化。
Since attributes are less extensible than elements, DB2 can apply certain storage and access optimizations.
现在，DB 2引入了优化的数据存储引擎，以便与现有关系引擎一起支持XML数据。
Now, DB2 has introduced an optimized data storage engine for XML data alongside the existing relational engine.
处理程序api的使用完全集成在捕捉和查询组件中，并通过优化数据库存储和查询，显著改进系统的性能。
The use of the handler API is completely integrated into the capture and query component, and it greatly improves the performance of a system by optimizing database storage and retrieval.
存储该数据是为了优化性能，因为存储原始数据的后端系统可能很慢，或者与后端系统的连接很慢或者不稳定。
This data is stored in order to optimize performance, because the backend system that stores the original data might be slow, or there is a slow or unstable connection to that backend system.
紧凑的数据表可以针对基于行的数据库做存储块优化，让SQL执行得更好。
Compact tables can optimize storage blocks for row-based databases and accordingly make SQL perform better.
使DB 2统计信息保持最新：如果没有存储在DB 2系统目录中的统计信息，优化器在优化任何事物时都会遇到困难。
Keep DB2 statistics up-to-date: Without the statistics stored in the DB2 'system catalog, the optimizer will have a difficult time optimizing anything.
xml索引、查询优化、存储管理和其他DB 2服务有助于确保出色的效率和运行时性能。
XML indexing, query optimization, storage management, and other DB2 services help ensure efficiency and strong runtime performance.
举例来说，当数组经过优化而不需要连续存储时，JVM可以返回一个副本。
For example, the JVM might return a copy when it has optimized arrays in a way that does not store them contiguously.
现在，DB2在它已有的关系引擎的基础上，更是引入了一种用于XML数据优化的数据存储引擎。
Now, DB2 has introduced an optimized data storage engine for XML data alongside its existing relational engine.
对于SAP应用程序，DB 2完成了存储优化，可在需要时动态分配存储空间，在不需要时释放空间。
For an SAP application, DB2 accomplishes storage optimization by dynamically allocating storage space when needed and free space when not needed.
迁移到DB 29的另一个好处是，混合型存储引擎和查询优化器“理解”XML，可以把涉及XML的查询映射为关系语法。
Another benefit of the move to DB2 9 is the hybrid storage engine and a query optimizer that "understands" XML (mapping to relational algebra for queries involving XML).
它还可以再优化 --例如，现在获取和存储是以 1比特为单位进行操作的，如果以8 个比特作为一组来处理，效率将会得到提高。
There is room for optimization -- for instance, the retrieval and storage of bits is done one by one, and it would be much more efficient if done in groups of eight.
比如，为了它的MapReduce实现更好的执行这种类型的操作，使其更优化，Google使用了专有的文件系统用来存储文件。
For example, Google USES a proprietary file system for storing files that's optimized for the type of operations that their MapReduce implementations are likely to perform.
在以上论述的基础上，Todd针对优化使用BigTable存储系统总结了若干必须牢记的原则。
Given that, Todd Outlines some other principles to keep in mind for an optimized use of BigTable storage system.
优化概要文件存储在一个名为 SYSTOOLS.OPT_PROFILE表中。
Optimization profiles are stored in a table called SYSTOOLS.OPT_PROFILE.
FlockDB是一个存储图数据的数据库，但是它并没有优化遍历图的操作。
FlockDB is a database that stores graph data, but it isn't a database optimized for graph-traversal operations.
AmazonS3使用高密度的存储磁盘，为廉价地存储大型的对象而优化。
Amazon S3 USES dense storage drives that are optimized for storing larger objects inexpensively.
DB 2Viper数据服务器提供了许多新功能，这些功能包括：灵活的安全选项、数据存储优化以及针对存储、管理和查询XML数据而改进的支持。
The DB2 Viper data server provides many new capabilities including: flexible security options, data storage optimization, and improved support for storing, managing, and querying XML data.
然后，可以使用cache - id从高速缓冲存储器中检索服务响应信息来使性能最优化。
The cache-id can then be used to retrieve service response information from the cache to optimize performance.
针对某些API操作(如查询与业务流程和任务相关的对象)的数据库查询优化(使用物化视图或存储查询)(请参见参考资料部分)。
Database query optimization for some of the APIs' operations like querying business process and task related objects (usage of materialized views or stored queries) (see the Resources section).
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