多站点云计算服务器基础设施防御策略

N. Rao, Chris Y. T. Ma, Fei He
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引用次数: 9

摘要

我们考虑大数据应用的云计算服务器基础设施,它由多个服务器站点组成,通过广域网连接。这些站点容纳了许多服务器、网络元素和局域网连接,广域网在提供它们之间的重要连接方面起着关键的、不对称的作用。我们将此基础设施建模为系统的系统,其中站点和广域网由其网络和物理组件表示。这些组件可以被网络和物理攻击禁用,也可以使用组件增强来保护它们。攻击的影响在单个系统内传播,并通过广域网传播。我们在两个层面上使用相关性来描述这些影响:(a)总体故障相关函数,该函数指定给定单个站点或网络故障的基础设施故障概率,以及(b)系统生存概率的一阶微分条件,该条件表征单个系统内组件级相关性。我们使用由生存概率和成本项组成的效用函数,制定了攻击者和提供者之间的博弈。在纳什均衡中,我们使用求和形式、乘积形式和复合效用函数,推导出由连接到网络的操作服务器数量给出的基础设施预期容量的表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defense Strategies for Multi-Site Cloud Computing Server Infrastructures
We consider cloud computing server infrastructures for big data applications, which consist of multiple server sites connected over a wide-area network. These sites house a number of servers, network elements and local-area connections, and the wide-area network plays a critical, asymmetric role of providing the vital connectivity between them. We model this infrastructure as a system of systems, wherein the sites and wide-area network are represented by their cyber and physical components. These components can be disabled by cyber and physical attacks, and also can be protected against them using component reinforcements. The effects of attacks propagate within the individual systems, and also beyond them via the wide-area network. We characterize these effects using correlations at two levels using: (a) aggregate failure correlation function that specifies the infrastructure failure probability given the failure of an individual site or network, and (b) first-order differential conditions on system survival probabilities that characterize the component-level correlations within individual systems. We formulate a game between an attacker and a provider using utility functions composed of survival probability and cost terms. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of operational servers connected to the network, using the sum-form, product-form and composite utility functions.
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