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Towards Availability: A Dynamic Scaling Mechanism for Cloud Applications

机译:迈向可用性:云应用程序的动态扩展机制

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With the on-demand ability of cloud computing, the performance requirement of a cloud application can be satisfied by adding a certain amount of computing resources to or removing some from the application in response to the workload fluctuation. However, the problem of the availability of application influenced by VM-based physical relative locations during resource scaling process is a challenge and has not been widely discussed yet. In this paper, the authors present a novel availability-based computing model to describe availability attribute of one application in the hierarchical topology of clouds. Moreover, the authors propose an availability-aware scaling mechanism by performing both vertical and horizontal resizing to explore how and where to allocate computing resource. Simulation results indicate that our model captured the availability of cloud applications properly and the proposed dynamic scaling approach achieves the objectives of meeting availability demands and minimizing the total cost.
机译:利用云计算的按需功能,可以通过响应于工作负载波动向应用程序添加一定数量的计算资源或从应用程序中删除一些计算资源来满足云应用程序的性能要求。但是,在资源扩展过程中受基于VM的物理相对位置影响的应用程序可用性问题是一个挑战,尚未得到广泛讨论。在本文中,作者提出了一种新颖的基于可用性的计算模型,用于描述云分层拓扑中一个应用程序的可用性属性。此外,作者通过执行垂直和水平调整大小来探索如何以及在何处分配计算资源,提出了一种可用性感知的扩展机制。仿真结果表明,我们的模型正确地捕获了云应用程序的可用性,并且所提出的动态扩展方法达到了满足可用性需求并最大程度降低总成本的目标。

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