A Taxonomy and Survey of Cloud Computing Systems
A Taxonomy and Survey of Cloud Computing Systems
复制标题
DOI：
10.1109/ncm.2009.218
复制
发表时间：
2009-08
期刊：
影响因子：
--
通讯作者：
B. Rimal;Eunmi Choi;I. Lumb
中科院分区：
文献类型：
--
作者：
B. Rimal;Eunmi Choi;I. Lumb
计算世界正变得非常庞大和复杂。云计算已成为一种流行的计算模型，支持使用商用计算机集群处理大量数据。根据 J.Dean 和 S. Ghemawat [1] 的说法，Google 目前处理超过 20 TB 的原始网络数据。这是一些令人着迷的大规模数据处理，让您头晕目眩，并欣赏多年来分布式计算微调应用于当今的大问题。云计算的发展可以按需服务处理如此海量的数据。如今，计算世界正在选择按使用付费的模式，除了炒作和讨论之外，云计算仍然没有具体的定义。在本文中，我们首先开发了一个用于描述云计算架构的综合分类法。然后，我们使用这个分类法来调查由全球各个项目（例如 Google、force.com、Amazon）开发的几种现有云计算服务。我们使用分类法和调查结果不仅可以识别云计算架构方法的异同，还可以识别需要进一步研究的领域。
The computational world is becoming very large and complex. Cloud Computing has emerged as a popular computing model to support processing large volumetric data using clusters of commodity computers. According to J.Dean and S. Ghemawat [1], Google currently processes over 20 terabytes of raw web data. It's some fascinating, large-scale processing of data that makes your head spin and appreciate the years of distributed computing fine-tuning applied to today's large problems. The evolution of cloud computing can handle such massive data as per on demand service. Nowadays the computational world is opting for pay-for-use models and Hype and discussion aside, there remains no concrete definition of cloud computing. In this paper, we first develop a comprehensive taxonomy for describing cloud computing architecture. Then we use this taxonomy to survey several existing cloud computing services developed by various projects world-wide such as Google, force.com, Amazon. We use the taxonomy and survey results not only to identify similarities and differences of the architectural approaches of cloud computing, but also to identify areas requiring further research.