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A goal-oriented simulation approach for obtaining good private cloud-based system architectures

机译:一种面向目标的仿真方法,用于获得良好的基于​​私有云的系统架构

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摘要

The fast-growing Cloud Computing paradigm makes it possible to use unprecedented amounts of computing resources at lower costs, among other benefits such as fast provisioning and reliability. In designing a good architecture - the numbers, types and layouts of devices - for a cloud-based system, which meets the goals of all stakeholders, such goals need to be factored in from the earliest stages. However, there seems to be a lack of methodologies for incorporating stakeholder goals into the design process for such systems, and for assuring with higher confidence that the designs are likely to be good enough for the stated goals. In this paper, we propose a goal-oriented simulation approach for cloud-based system design whereby stakeholder goals are captured, together with such domain characteristics as workflows, and used in creating a simulation model as a proxy for the cloud-based system architecture. Simulations are then run, in an interleaving manner, against various configurations of the model as a way of rationally exploring, evaluating and selecting among incrementally better architectural alternatives. We illustrate important aspects of this approach for the private cloud deployment model and report on our experiments, using a smartcard-based public transportation system.
机译:快速发展的云计算范例使人们能够以更低的成本使用空前数量的计算资源,还有诸如快速配置和可靠性之类的其他好处。在为满足所有利益相关者目标的基于云的系统设计好的架构(设备的数量,类型和布局)时,需要从最早的阶段就考虑到这些目标。但是,似乎缺乏将利益相关者的目标纳入此类系统的设计过程中并以更高的信心确保设计可能足以满足所述目标的方法。在本文中,我们为基于云的系统设计提出了一种面向目标的仿真方法,该方法可捕获利益相关者的目标以及工作流等领域特征,并用于创建仿真模型作为基于云的系统体系结构的代理。然后,以交错的方式针对模型的各种配置进行仿真,以此作为合理探索,评估和选择渐进更好的体系结构替代方案的一种方式。我们将说明这种方法用于私有云部署模型的重要方面,并使用基于智能卡的公共交通系统报告我们的实验。

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