In this article, you will learn what a grid type is, what grid computing is, and what the GIG aims for.
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。
Cloud computing and grid computing are scalable.
云计算和网格计算都是可伸缩的。
This is more commonly called server aggregation or grid computing.
这通常称为服务器聚合或网格计算。
But first, a basic backgrounder on grid computing and peer-to-peer functionality.
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。
Cloud computing evolves from grid computing and provides on-demand resource provisioning.
云计算是从网格计算演化来的，能够随需应变地提供资源。
Earlier in this decade, I developed a grid computing project called Capacity Calibration.
在本世纪初，我开发了一个名为CapacityCalibration的网格计算项目。
Before cloud computing was widely known, there existed grid computing and utility computing.
在云计算得到广泛应用之前，我们使用的是网格计算与效用计算。
After parallel algorithms came grid computing, which ran parallel computations on idle desktops.
并行算法发明以来，首先迎来的是网格计算，网格计算是借助空闲的桌面计算机资源进行并行计算。
For many organizations, grid computing may be a viable way to address the most pressing challenges.
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。
With grid computing, you can provision computing resources as a utility that can be turned on or off.
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。
As part of this role, expect to see SOA play a greater role in grid computing and virtualization as well.
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。
In this article, you look at what grid types are, what grid computing is about, and what the aims of GIG are.
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。
I think it's inevitable that grid computing — and the virtualization and federation of resources — will happen.
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。
The ability to leverage grids as part of a grid computing platform is an integral part of it services management.
对于IT服务管理而言，将网格用作计算平台的一部分的功能是不可或缺的。
His recent focus has been on high performance computing including in-memory data grid, parallel and grid computing.
他最近的关注点是高性能计算，包括内存数据网格、并行计算和网格计算。
Unfortunately, there has been a fair amount of confusion regarding cloud computing and its relationship with grid computing.
不幸的是，关于云计算及其与网格计算的关系存在许多误解。
Despite these challenges, for people like Foster, the adoption of grid computing is not a question of if but rather of when.
尽管有这些难题，但对于像Foster这样的人来说，采用网格计算不是要不要的问题，而是什么时候的问题。
So what happens if you integrate both grid computing and collaborative peer-to-peer concepts into the cloud test environment?
那么，如果将云计算和协作对等概念都融入到云测试环境中，会出现什么样的情况呢？
Other well-known examples of grid computing include the sequencing of the human genome and calculating a million digits of PI.
其他著名的网格计算示例包括对人类基因排序和计算pi的100万位。
What makes grid computing unique is the ability to divide a large task into many smaller ones that can be carried out in parallel.
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。
In this article, I talk about cloud computing service types and the similarities and differences between cloud and grid computing.
本文介绍了云计算服务类型，云计算和网格计算的相似与不同。
Four issues stand out with cloud and grid computing: threshold policy, interoperability issues, hidden costs, and unexpected behavior.
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。
Which is why I think it's important for developers to learn all they can about grid computing, study the standards, and ask questions.
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。
Because the load of resources can be balanced in the grid with unused resources, grid computing is like an extreme form of load balancing.
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。
In addition, IBM is also helping long-time partners like the United States Tennis Association (USTA) tap into the power of grid computing.
另外，IBM还协助长期的合作伙伴，如美国网球联盟(UnitedStates Tennis Association,USTA)利用网格计算的能力。
Their implementation of a distributed JVM is an extraordinary achievement, however that doesn't make it a grid computing framework per say.
他们对一个分布式JVM的实现是一个非比寻常的成就，但目前来讲这并不能使它成为一个网格计算框架。
In any case, it can take quite a while to enter hundreds or thousands of records and this is where grid computing can speed things up enormously.
在任何情况下，输入数百或数千条记录都需要一定的时间，而网格计算可在这方面显著提高处理速度。
To get cloud computing to work, you need three things: thin clients (or clients with a thick-thin switch), grid computing, and utility computing.
实现云计算需要三个部分：瘦客户机(或者能够在胖瘦之间切换的客户机)、网格计算和效用计算。
Others say that cloud computing is marketing hype that puts a new face on old technology, such as utility computing, virtualization, or grid computing.
还有一些人说，云计算是一种市场宣传，只不过是老技术(如效用计算、虚拟化或网格计算)换了张新面孔。
Simon Ritter specialises in looking at emerging technologies including grid computing, RFID, wireless sensor networks, robotics and wearable computing.
SimonRitter专门研究新兴的技术，包括网格计算、RFID、无线传感网络、机器人技术和可穿戴计算。
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