在本文中，您将了解什么是网格类型、什么是网格计算以及GIG 的目标是什么。
In this article, you will learn what a grid type is, what grid computing is, and what the GIG aims for.
网格计算可以在云中，也可能不在，这取决于什么样的用户在使用它。
Grid computing may or may not be in the cloud depending on what type of users are using it.
每一次这样做，我们都能明白哪些东西是可以达到的，哪些经验可以贡献给开源的网格计算公共知识库的。
Every time we do this, we are learning about what can be achieved and contributing to the common knowledge about open source grid computing.
作为这个角色的一部分，SOA在网格计算和虚拟化中扮演更重要的角色同样也很值得期待。
As part of this role, expect to see SOA play a greater role in grid computing and virtualization as well.
对于许多组织来说，网格计算可能是解决这些最紧迫的难题的可行方法。
For many organizations, grid computing may be a viable way to address the most pressing challenges.
我认为网格计算——及资源的虚拟化和联合化——的出现是必然的。
I think it's inevitable that grid computing — and the virtualization and federation of resources — will happen.
使网格计算如此独特的是将大型任务拆分为许多可并行执行的较小任务的能力。
What makes grid computing unique is the ability to divide a large task into many smaller ones that can be carried out in parallel.
这通常称为服务器聚合或网格计算。
This is more commonly called server aggregation or grid computing.
这就是为什么我认为全面了解网格计算、研究标准并询问问题对开发人员很重要。
Which is why I think it's important for developers to learn all they can about grid computing, study the standards, and ask questions.
我不太清楚的是人们能够多快接受这个为实施网格计算而设置并启用的标准。
Less clear to me is how quickly people will accept the standards that are being set and begin to demand grid computing.
利用未使用资源的网格计算。
在同样的时间间隔内，利用网格计算，资源利用可以达到90%之多。
With grid computing, resource utilization can increase by as much as 90 percent during the same time period.
本文演示了如何集成网格计算和协作式对等功能，使基于云的自动化测试变得轻松简单。
This article demonstrated how you can integrate grid computing and collaborative peer-to-peer functionality in order to make it easier to automate cloud-based testing.
深入讨论网格计算超出了本文的范围，但是有几个要点值得提及的。
An in-depth discussion of Grid computing is beyond the scope of this introduction, but a couple of points are worth mentioning.
为了对他们的组织有价值，他们应该试图保持领先并知道如何利用网格计算的好处。
To be of real value to their organizations, they should try to stay ahead of the curve and know how to leverage all of grid computing's benefits.
但是首先，需要介绍一些网格计算和对等功能的基本背景知识。
But first, a basic backgrounder on grid computing and peer-to-peer functionality.
在本世纪初，我开发了一个名为CapacityCalibration的网格计算项目。
Earlier in this decade, I developed a grid computing project called Capacity Calibration.
不久，Globus Alliance和它的合作伙伴开始发布网格计算的系列标准，包括
Soon, the Globus Alliance, along with its partners, began publishing a series of grid computing standards that included
MatthewFriedman是负责IBM网格计算计划的全球销售执行官。
Matthew Friedman is the worldwide marketing executive responsible for IBM's grid computing initiative.
最近，这个概念正在重新引入网格计算领域。
Recently, this concept is being re-introduced within the realm of Grid computing. Here, additional technical requirements were formulated, including.
InfoQ问到在网格计算架构中Shoal框架扮演了什么样的角色。
InfoQ asked a question on what role Shoal framework can play in the emerging grid computing architectures. The authors explained how Shoal is a good fit for building such solutions.
因为在有未使用资源的网格中可以平衡资源负载，所以网格计算好像是负载平衡的一种极端形式。
Because the load of resources can be balanced in the grid with unused resources, grid computing is like an extreme form of load balancing.
通过网格计算，可以把计算资源作为能够开启关闭的公用事业来提供。
With grid computing, you can provision computing resources as a utility that can be turned on or off.
它用到了BOINC这一志愿计算和桌面网格计算的软件平台。
It USES BOINC, a software platform for volunteer computing and desktop Grid computing.
企业网格计算是一种新兴的、重要的计算范例，特别是对于银行、数据仓库和保险业的客户。
Enterprise grid computing is emerging as an important computing paradigm, especially for customers in the banking, data warehousing, and insurance industries.
网格计算要求软件的使用可以分为多个部分，将程序的片段作为大的系统映像传递给几千个计算机中。
Grid computing requires the use of software that can divide and farm out pieces of a program as one large system image to several thousand computers.
云计算和网格计算面临着四个问题：阈值策略、互操作性、隐含成本、异常行为。
Four issues stand out with cloud and grid computing: threshold policy, interoperability issues, hidden costs, and unexpected behavior.
使用这些工具，可以方便地建立分布式数据网格的基本基础设施并执行网格计算。
With these tools, it can be easy to set up the basic infrastructure of a distributed data grid and perform grid computations.
网格计算(包括跨端点网格并行执行作业)的原则随着下一代企业应用程序而出现。
The principles of grid computing, including the parallel execution of a job across a grid of endpoints, emerge as the next generation of enterprise applications.
网格计算并不是回应LHC挑战的唯一答案，一些场合下志愿计算也大有用武之地。
Grid computing is not the only answer to all of the LHC challenges and there are cases where volunteer computing makes sense.
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