网格计算概述

Manjeet Singh
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引用次数: 2

摘要

网格计算基本上是一种利用地理上广泛分布的资源为分布式系统提供高计算能力的基础设施。网格中的资源由不同的组织拥有,这些组织有自己的策略、计算能力、框架、成本和访问模型。在过去的15年里,由于硬件和软件可用性的提高,计算机和网络性能有了很大的提高。尽管计算领域的发展非常好,但在科学、工程和商业领域仍然存在一些问题,需要更有效地处理。实际上,由于问题规模大,数值计算量大,数据处理量大,这些问题需要大量的资源,而这些资源通常在一台机器上是无法获得的。因此,网格计算基本上是一种识别和利用地理上分布的异构资源来解决数据密集型数值问题的思想。有各种各样的方法以不同的方式利用分布式资源来解决类似的问题,这些问题有不同的名称,如集群计算、云计算、元计算、可扩展计算、分布式计算、并行计算和最近的网格计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Grid Computing
Grid Computing is basically an infrastructure which provides high computational capacity to the distributed system by making use of widely geographically distributed resources. The resources in grid are owned by different organizations which has their own policies, computation capability, framework, and cost and access model. The last fifteen years have observed a growth in computer and network performance due to better hardware and software availability. Although, the growth in field of computing is very good but still there are problems in the field of Science, Engineering and Businesses which needs to be handle more effectively. Actually due to the large size of the problems, numerical computation, large volume of data processing, the problems needs a verity of resources which are often not available at a single machine. So, basically Grid Computing is an idea to identify and use the geographically distributed heterogeneous resources to solve the data intensive numerical problems. There are various approaches which make use of distributed resources in different manner to solve similar kind of problems known by different names like-Cluster Computing, Cloud Computing, Meta Computing, Scalable Computing, Distributed Computing, Parallel Computing and more recently the grid computing.
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