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Cost-Aware Caching: Caching More (Costly Items) for Less (ISPs Operational Expenditures)

机译:成本意识缓存:以更少的钱缓存更多(昂贵的项目)(ISP的运营支出)

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摘要

Albeit an important goal of caching is traffic reduction, a perhaps even more important aspect follows from the above achievement: the reduction of internet service provider (ISP) operational costs that comes as a consequence of the reduced load on transit and provider links. Surprisingly, to date this crucial aspect has not been properly taken into account in cache design. In this paper, we show that the classic caching efficiency indicator, i.e., the hit ratio, conflicts with cost. We therefore propose a mechanism whose goal is the reduction of cost and, in particular, we design a cost-aware (CoA) cache decision policy that, leveraging price heterogeneity among external links, tends to store with more probability the objects that the ISP has to retrieve through the most expensive links. We provide a model of our mechanism, based on Che's approximation, and, by means of a thorough simulation campaign, we contrast it with traditional cost-blind schemes, showing that CoA yields a significant cost saving, that is furthermore consistent over a wide range of scenarios. We show that CoA is easy to implement and robust, making the proposal of practical relevance.
机译:尽管缓存的一个重要目标是减少流量,但是从以上成就中可以得出一个甚至更重要的方面:减少Internet服务提供商(ISP)的运营成本,这是由于减少了传输和提供商链接的负载而导致的。令人惊讶的是,迄今为止,在缓存设计中并未适当考虑这一关键方面。在本文中,我们证明了经典的缓存效率指标(即命中率)与成本冲突。因此,我们提出了一种以降低成本为目标的机制,尤其是,我们设计了一种成本感知(CoA)缓存决策策略,该策略利用外部链接之间的价格异质性,倾向于更有可能地存储ISP具有的对象通过最昂贵的链接进行检索。我们基于Che的近似值提供了一种机制模型,并且通过全面的模拟活动,将其与传统的成本盲方案进行了对比,表明CoA可以显着节省成本,而且在广泛范围内保持一致场景。我们证明CoA易于实施且功能强大,从而使该建议具有实际意义。

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