实时系统(DDS)程序的结构数据分布服务，以管理相互联系构件的复杂性。
Architect Data Distribution Service for Real-Time Systems (DDS) applications to manage the complexity of interconnected components.
RationalInsight评价Web架构以从分布的系统中获取数据，并产生现在以及历史的跨产品报告。
Rational Insight leverages web architecture to extract data from distributed systems and generate both live and historical cross-product reports.
系统恢复之后，Fours quare增加了多台额外的Shard，保证分布数据的均衡。
After the system was restored, they set up additional shards and distributed data evenly.
IBM 's的华生系统也是基于分布在数百台计算机的海量数据，和一个多来源证据相结合的复杂机制。
IBM's Watson system also relies on massive amounts of data, spread over hundreds of computers, as well as a sophisticated mechanism for combining evidence from multiple sources.
Bigtable是用于管理结构化数据的分布式存储系统(有关更多信息，请参阅参考资料)。
Bigtable is a distributed storage system for managing structured data (see Resources for more information).
集群中所有节点对数据的并发访问，以及某些分布式文件系统所内置的高可用性，是它们成为集群环境理想选择的两方面原因。
Concurrent access to data from all nodes in a cluster and the high availability built into some distributed file systems are a couple of reasons why they are ideal for a cluster environment.
数据分析工具可以用以部署到分布系统上，并由不同层次责任的地理分布团队访问和使用。
The data analysis tools can be deployed on distributed systems, and accessed and used by geographically distributed teams with differing levels of responsibility.
这些数据库分区可以位于同一台机器以充分利用多核系统的全部CPU能力，当然，在一个没有分享的配置中，它们也可以跨多个机器分布。
These database partitions can reside on the same machine to exploit all the CPU power of a multi-core system, or they can be spread across multiple machines in a shared-nothing configuration.
近几年，尤其是随着服务器和数据中心整合的出现，已经出现了从分布式系统向数据中心转移的趋势。
There has been a trend in recent years away from distributed systems and toward the datacenter, particular with the rise of servers and datacenter consolidation.
为了减轻该风险，雅虎将数据复制到多个群集，因此分布式文件系统的中断可以使用备份文件系统来弥补和解决。
To mitigate that, Yahoo replicates data to multiple clusters, so an outage of one distributed file system can be compensated for by using a backup file system.
通过将分布式计算资源组合到单一的系统“图像”中，网格计算生成了可以使用户访问所需数据和资源的虚拟机算计。
By combining distributed computing resources into a single system "image," grid computing creates a virtual computer from which users can access data and resources as required.
有了联邦系统，便可以使用一条SQL语句将分布式请求发送到多个数据源。
With a federated system, you can use a single SQL statement to send distributed requests to multiple data sources.
NIS+还对命名系统进行了扩展，因此数据库将放入树形结构中（而不是单个域中），以便允许更为复杂、范围更广的分布。
NIS+ also extended the naming system so that databases were placed into a tree structure rather than a single domain, allowing for much more complicated and wider-ranging distribution.
企业级集成的特征包括跨系统分布式事务、对关键数据交付使用基于队列的消息，或各种其他类型的服务。
Characteristics of enterprise integration include distributed transactions across various systems, queue-based messaging for critical data delivery, or various other types of services.
联邦数据库系统的用户可以对存储在联邦系统中任意位置的数据进行分布式查询，不管自己的位置在哪里，也不管数据源使用的是哪种SQL方言。
Users of a federated database system can pose distributed queries over data stored anywhere in the federated system, regardless of its location or the SQL dialect of the data source.
客户机邮件数据库均匀分布于52个LVM文件系统，每一个分配都横跨lvm中的五个卷，为每一个文件系统提供11.5GB的可用空间。
Client mail databases were distributed evenly over 52 LVM file systems, each allocated across 5 volumes in a single LVM, providing 11.5 GB of useable space per file system.
跨分布式系统处理数据波动。
客户机邮件数据库均匀分布于52个LVM文件系统，每一个分配都横跨单独lvm中的五个卷，为每一个文件系统提供11.5GB的可用空间。
Client mail databases were distributed evenly over a 52 LVM file system, each allocated across 5 volumes in a single LVM, providing 11.5 GB of useable space per file system.
作为分布式网络的高级形式，网格计算通过专门的软件将服务器、数据库和应用程序连接起来，成为一个“单一的”大型系统。
An advanced form of distributed networking, grid computing links servers, databases, and applications into a "single" large system via specialized software.
我们只好学会利用手工办法恢复信息块中的数据，从而使分布式通用地面系统不会崩溃。
We learned to manually do [data retrieval] in chunks of information so DCGS would not crash.
服务器为表中的各个列生成数据分布，这些数据分布被以编码直方图的形式存储在sysdistrib系统编目的encdat列中。
Data distributions are generated by the server for individual columns of a table, and are stored as encoded histograms in the encdat column of the sysdistrib system catalog.
它提供了一个组事件通知模型使得消费应用程序(consuming applications)可以解决分布式系统领域中的很多难题包括数据复制。
It provides a group event notification model that allows consuming applications build solutions for a variety of problems in the distributed systems area including data replication.
在某些数据节点已满或者新的空节点加入集群时，实现一个模块来平衡Hadoop分布式文件系统集群上的磁盘空间使用情况。
A module was implemented to balance the disk space usage on a Hadoop Distributed File System cluster when some data nodes became full or when new empty nodes joined the cluster.
本次发布带来了Largefile插件——一种将集中式数据存储带入迥异的分布式版本管理系统的方式。
This release brings the Largefiles Extension, a way of bringing centralised data storage to an otherwise distributed version control system.
WS - Addressing会话模型提供了Webservices端点信息和会话数据间的耦合，这与分布式对象系统中的对象引用类似。
The WS-Addressing session model provides coupling between the Web service endpoint information and the session data, which is analogous to object references in distributed object systems.
许多大型站点都使用memcached在分布式内存系统中缓存各种对象，这样就不需要从磁盘或数据库读取它们。
Memcached is used by many large sites to cache various objects in a distributed memory system, rather than having to read from disk or a database.
因为pvu数适用于采用不同处理器核体系结构的不同数据服务器，可以更方便地跨分布式系统转移许可证。
Makes licenses more transferable across distributed systems since PVUs can be moved around to different database servers that run on different core architectures.
我们在关系型数据库中完成了被称为“Soft NUMA ”的技术，它通过端口映射在系统内部得以获得良好的分布式工作效果。
The main thing done in the relational database was to use "soft NUMA" and port mapping to get a good distribution of work within the system.
这项工作的关键点在于创建一个系统。这个系统允许MapReduce算法在尽可能靠近数据本身的地方采用分布式处理大量数据。
The point of this exercise is to create a system that allows the MapReduce magic of distributed processing of large amounts of data to happen closer to the data itself.
这项工作的关键点在于创建一个系统。这个系统允许MapReduce算法在尽可能靠近数据本身的地方采用分布式处理大量数据。
The point of this exercise is to create a system that allows the MapReduce magic of distributed processing of large amounts of data to happen closer to the data itself.
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