Besides the grid itself, a central server or server cluster for distributing the task and collecting the results is a necessary component of grid computing architecture.
除了网格本身，用于分配任务和收集结果的一个中央服务器或服务器集群也是网格计算架构的一个不可或缺的组件。
Grid computing is a form of distributed computing where the centralized computer is composed of a cluster of networks.
网格计算是一种分布式计算，它用网络集群组成一个集中的计算机。
Infinispan, which is a successor to JBoss Cache caching framework, is an open source data grid platform that makes use of distributing state across nodes in a cluster.
Infinispan是JBossCache缓存框架的后续项目，它是一个开源的数据网格平台，用于访问分布式状态的群集节点。
Think of a compute cluster or grid composed of thousands of commodity computing nodes.
（想一想拥有数千个计算节点的计算集群或网格）。
What we have touched on here though is relevant to a cluster, grid, or cloud infrastructure.
我们在这里接触的只是与集群、网格和云基础结构相关的内容。
For such a pure WebSphere eXtreme Scale grid running in a super cluster, there is no need to bridge any of the core groups containing the catalog server cluster or the grid hosting clusters.
对于运行在超级集群中的纯websphereeXtremeScale网格，不需要桥接任何包含目录服务器集群或网格托管集群的核心组。
In cluster computing and Grid computing environment, job schedule is related to the performance of system, and it is a very important issue.
无论是在集群环境下还是在网格环境下，作业调度都关系到了高性能计算的性能，是一个相当重要的问题。
A kind of traditional data cluster algorithm based on grid used the method of the fixed network division, with its faster processing but low accuracy.
传统的基于网格的数据流聚类算法采用固定划分网格的方法，虽然算法的处理速度较快，但是聚类准确性较低。
A useful method to manage cluster system in grid environment is put forward with grid system software and cluster management software.
利用网格系统软件和集群系统管理软件，实现了一种在网格环境下对集群系统作业进行管理的方法。
To select suitable grid resource for a data parallel application, an idea of pseudo-cluster is introduced.
为给数据并行应用选择适合的网格资源，文章给出一个伪机群的想法。
This thesis focuses on the grid server, which includes mainly execution of grid parallel tasks and management of parallel tasks on a PC cluster.
网格服务器端是本文讨论的一个重点，讨论的主要内容有：网格并行任务的运行和集群上的并行任务管理。
The algorithm presents a clear and precise membership function for every cluster after data preprocessing by traditional grid partition.
在定义隶属度函数前先做网格划分，形成数据簇的基本形状，并提供真实的参数信息参与此后的隶属度函数定义。
After discussing the concepts, techniques and algorithms about clustering, a grid and density based cluster algorithm was proposed.
讨论数据挖掘中聚类的相关概念、技术和算法。
Grid computing can be thought of as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.
网格计算可以认为是一种分布式的大规模机群计算、一种网络分布的并行处理。
Grid computing can be thought of as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.
网格计算可以认为是一种分布式的大规模机群计算、一种网络分布的并行处理。
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