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A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing

机译:用于云计算研究的数学模型,仿真方法和测试平台的调查

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摘要

The first hurdle for carrying out research on cloud computing is the development of a suitable research platform. While cloud computing is primarily commercially-driven and commercial clouds are naturally realistic as research platforms, they do not provide to the scientist enough control for dependable experiments. On the other hand, research carried out using simulation, mathematical modelling or small prototypes may not necessarily be applicable in real clouds of larger scale. Previous surveys on cloud performance and energy-efficiency have focused on the technical mechanisms proposed to address these issues. Researchers of various disciplines and expertise can use them to identify areas where they can contribute with innovative technical solutions. This paper is meant to be complementary to these surveys. By providing the landscape of research platforms for cloud systems, our aim is to help researchers identify a suitable approach for modelling, simulation or prototype implementation on which they can develop and evaluate their technical solutions.
机译:开展云计算研究的第一个障碍是开发合适的研究平台。尽管云计算主要是由商业驱动的,而商业云作为研究平台自然是现实的,但它们没有为科学家提供足够的控制来进行可靠的实验。另一方面,使用模拟,数学建模或小型原型进行的研究不一定适用于大规模的真实云。先前对云性能和能效的调查集中在为解决这些问题而提出的技术机制上。各个学科和专业知识的研究人员都可以使用它们来确定可以通过创新技术解决方案做出贡献的领域。本文旨在补充这些调查。通过提供用于云系统的研究平台的概况,我们的目的是帮助研究人员找到合适的建模,仿真或原型实现方法,以供他们开发和评估技术解决方案。

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