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A mathematical programming formulation of optimal cache expiration dates in content networks

机译:内容网络中最佳缓存过期日期的数学编程公式

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One of the fundamental decisions in content networks is how the information about the existing contents is deployed and accessed. In particular, there are two main alternatives, either to publish the information when contents are changed, or to search for the contents when a query is received. Even if some networks only use one of these alternatives, in general it is better to employ a mix of both strategies. This implies evaluating the tradeoff between these alternatives, in order to decide the characteristics of the mix. In this work we develop a simplified model of the costs and restrictions associated with cache expiration dates in a cache node in a content network; these expiration dates regulate the proportion of queries which will be answered on the basis of published information, vs. those which will give rise to additional searches in the network backbone. Based on this model, we present a mathematical programming formulation which can be useful to determine the optimal cache expiration dates in order to maximize the total information discovered, while respecting the operational constraints of the network.
机译:内容网络中的一项基本决策是如何部署和访问有关现有内容的信息。特别是,有两种主要选择,一种是在更改内容时发布信息,或者在接收到查询时搜索内容。即使某些网络仅使用这些替代方法之一,通常也最好同时使用这两种策略。这意味着需要评估这些替代方案之间的权衡,以便确定混合的特性。在这项工作中,我们开发了一个简化的模型,该模型简化了内容网络中缓存节点中与缓存到期日期相关的成本和限制;这些到期日期规定了将根据已发布的信息回答的查询的比例,而不是那些引起网络主干中额外搜索的查询的比例。在此模型的基础上,我们提出了一种数学编程公式,该公式可用于确定最佳的缓存过期日期,以便最大化所发现的总信息,同时遵守网络的操作约束。

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