Optimizing the deployment of cloud-hosted application components for guaranteeing multitenancy isolation

L. Ochei, Andrei V. Petrovski, J. Bass
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引用次数: 7

Abstract

The sharing of components of a cloud-hosted application and the underlying cloud resources between tenants have the potential to reduce resource consumption and running cost per tenant. However, this sharing may allow the behaviour of one component to affect the performance, resource consumption and access privileges of other components, for example, if the application fails to scale-up when the workload of one of the component increases suddenly. This problem becomes even more acute when components are associated with different or higher degrees of isolation among them. This paper presents a mathematical optimization model and a metaheuristic (based on simulated annealing) solution for providing near-optimal solutions for deploying components of a cloud-hosted application in a way that guarantees the required degree of isolation between the components. Our experiments showed that the near-optimal solutions obtained from our model had low variability and percent deviation, when compared with the optimal solution. We also provide some recommendations in deploying components associated with varying degrees of isolation.
优化云托管应用程序组件的部署,以保证多租户隔离
在租户之间共享云托管应用程序的组件和底层云资源有可能降低每个租户的资源消耗和运行成本。然而,这种共享可能允许一个组件的行为影响其他组件的性能、资源消耗和访问权限,例如,当其中一个组件的工作负载突然增加时,应用程序无法扩展。当组件之间的隔离程度不同或更高时,这个问题变得更加严重。本文提出了一个数学优化模型和一个元启发式(基于模拟退火)解决方案,为部署云托管应用程序的组件提供接近最优的解决方案,以保证组件之间所需的隔离程度。我们的实验表明,与最优解相比,我们的模型获得的近最优解具有低变异性和百分比偏差。在部署与不同隔离程度相关的组件时,我们还提供了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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