自动化系统设计的可用性

G. Janakiraman, J. R. Santos, Yoshio Turner
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引用次数: 21

摘要

大规模系统会经历频繁的故障,这可能会导致不可接受的高服务停机时间或应用程序执行时间。为了满足性能和可用性要求,用户必须执行复杂的设计任务,包括选择和配置硬件和软件组件以及处理故障的机制。我们相信用户应该通过自动化设计过程来减轻这种负担,以便从高级应用程序需求中生成具有成本效益的解决方案。在本文中,我们提出了一个概念验证设计自动化引擎,它是实现这一目标的第一步。我们描述了如何使用ave来表示基础设施选择、应用程序模型和用户需求,从而自动化设计空间搜索和设计备选方案的推理。我们还提供了一些示例来说明Aved如何生成基础设施设计的成本-可用性和成本-性能权衡的完整图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated system design for availability
Large-scale systems experience frequent failures which can result in unacceptably high service downtime or application execution time. To meet performance and availability requirements, the user must perform a complex design task including the selection and configuration of hardware and software components and mechanisms for handling failures. We believe users should be relieved of this burden by automating the design process in order to generate cost-effective solutions from high-level application requirements. In this paper, we present Aved, a proof of concept design automation engine which is a first step toward this goal. We describe how infrastructure choices, application models, and user requirements are represented with Aved to automate design space search and reason about design alternatives. We additionally present examples to illustrate how Aved can generate a complete picture of the cost-availability and cost-performance tradeoffs for the infrastructure design.
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