Problems with distributed computing systems.
分布式计算系统存在的问题。
Persisted functions and distributed computing.
持久化的函数和分布式计算。
User management is an important part of distributed computing environments.
用户管理是分布式计算环境中一个重要的部分。
So what attributes are required for a successful distributed computing model?
那么一个成功的分布式计算模型需要有一些什么样的特征呢？
Stored procedures were invented to deal with problems of distributed computing.
存储过程是为了解决分布式计算的问题而发明的。
Nowhere is this trend more apparent than within the distributed computing arena.
这一趋势在任何地方都没有比在分布式计算领域更明显。
There are a variety of models for messaging in a distributed computing environment.
在分布式计算环境中，有各种用于消息传递的模型。
Web services are a relatively new messaging infrastructure for distributed computing.
对于分布式计算来说，Web服务是一个相对较新的消息基础设施。
The ever more fine-grained distributed computing architecture is customer-led, not vendor-driven.
粒度越来越细的分布式计算架构是客户导向的，而非供应商驱动。
He spent most of his career working on distributed computing and distributed transaction protocols.
他把大部分的职业时间都投入到了分布式计算和分布式事务协议上。
Thus they make up the basic necessities for a platform independent distributed computing framework.
这样，它们就组成了一个与平台无关的分布式计算框架所必需的基本内容。
Using Web services for distributed computing is therefore a flexible but somewhat limited approach.
因此，将Web服务用于分布式计算是一种灵活但有点受限制的方法。
His research interest covers broad topics of virtualization, Web services, and distributed computing.
他的研究涉及虚拟化、Web服务和分布式计算的广泛主题。
In order to reduce the time the tests take to execute, Matt recommended the use of distributed computing.
为了减少测试执行的时间，Matt建议使用分布式计算方法。
The move to distributed computing, which started in the mid-1980s, led to a big change in the IT industry.
向分布式计算的转变自上世纪80年代中期开始就引领了IT业界的大变革。
The primary reason for the decision to adopt a distributed computing approach to managing LHC data was money.
作出采用分布式计算的方式来管理LHC数据的首要考虑还是金钱。
David Baker has a project, Rosetta@home, that uses distributed computing to search for the shapes of proteins.
大卫•贝克有一个项目，Rosetta@home利用分散式计算搜索蛋白质的各种形状。
First and foremost, they reflect a familiarity with distributed computing that helps to frame the conversation.
首先，它们反映了人们对于分布式计算有一定的熟悉程度，这有助于交流的开展。
From this article, it's easy to see how Hadoop makes distributed computing simple for processing large datasets.
通过本文很容易看出Hadoop显著简化了处理大型数据集的分布式计算。
With the spread of distributed computing, application-to-application communication has become an important issue.
随着分布式计算的普及，应用程序到应用程序的通信成为一个重要的问题。
In distributed computing, an application is divided into smaller parts that run simultaneously on different computers.
在分布式计算中，一个应用会被划分为若干稍小的部件，并同时运行在不同的计算机上。
While CORBA and DCOM have their limitations, a distributed computing model is badly needed, and so they are widely used.
尽管CORBA和DCOM 存在着局限性，但由于我们迫切需要一个分布式计算模型，因此它们还是得到了广泛的应用。
Utility computing has been an integral part of the mainframe and has now become an emerging area of distributed computing.
效用计算已经成为大型机的一个完整组成部分，并且现在已经成为分布式计算的一个新兴领域。
XML-RPC: Study the XML-RPC specification and its variety of implementations for RPC in a distributed computing environment.
XML -RPC：学习XML - RPC规范以及分布式计算环境中的RPC的各种实现。
Let's revisit Table 2 and concentrate on the value HTTP and XML bring to web services as a new distributed computing model.
让我们回顾一下表2，并注意HTTP和XML作为一个新的分布式计算模型带给Web服务的价值。
This basically means that anything that is distributed is a service and SOA is effectively a distributed computing paradigm.
这基本表明任何分布的事物都是服务，SOA是一个分布式计算范型。
Its focus is on providing secure distributed computing, and it also provides interesting constructs for asynchronous programming.
它强调提供安全的分布式计算，它还为异步编程提供了一些有趣的概念。
Hadoop is an open source distributed computing platform that includes implementations of MapReduce and a distributed file system.
Hadoop是一个开源的分布式计算平台，它主要由MapReduce的算法执行和一个分布式的文件系统等两部分组成。
The application server provides all the same services it used to, such as distributed computing, transaction management, and persistence.
应用服务器所提供的服务也相同，比如分布式计算、事务管理和持久性。
The EJB specification was designed to solve complex problems, such as distributed computing, transaction management, and data persistence.
EJB规范旨在解决一些复杂问题，比如分布式计算、事务管理和数据持久性。
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