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DISTRIBUTED COMPUTING APPROACHES FOR SCALABILITY AND HIGH PERFORMANCE

机译:可扩展性和高性能的分布式计算方法

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Distributed computing is a science which solves a large problem by giving small parts of the problem to many computers to solve and then combining the solutions for the parts into a solution for the problem. This distributed computing framework suits to projects, which have an insatiable appetite for computing power. Two such popular projects are SETI@Home and Folding@Home. Different architectures and approaches for distributed computing are being proposed as part of the works progressing around the world. One way of distributing both data and computing power, known as grid computing, taps the Internet to put petabyte processing on every researcher's desktop. Grid technology is finding its way out of the academic incubator and entering into commercial environments. Cloud computing, which is a variant to grid computing, has emerged as a potentially competing approach for architecting large distributed systems. Clouds can be viewed as a logical and next higher-level abstraction from Grids.
机译:分布式计算是一门解决大问题的科学,方法是将问题的一小部分交给许多计算机来解决,然后将这些部分的解决方案组合为问题的解决方案。这种分布式计算框架适合于对计算能力有无限满足的项目。这样的两个受欢迎的项目是SETI @ Home和Folding @ Home。分布式计算的不同体系结构和方法正在作为世界范围内工作的一部分提出。分配数据和计算能力的一种方法,称为网格计算,可以利用Internet在每个研究人员的桌面上进行PB级处理。网格技术正逐渐脱离学术孵化器,进入商业环境。云计算是网格计算的一种变体,它已经成为构建大型分布式系统的一种潜在竞争方法。可以将云视为来自Grid的逻辑上一个更高层次的抽象。

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