上下文感知服务的利润最大化分配策略

Thomas Buchholz, I. Hochstatter, Claudia Linnhoff-Popien
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引用次数: 6

摘要

大型移动商务应用程序需要复制和分发,以向大量受众提供适当的服务质量。在这种情况下,一个非常重要的问题是何时何地放置副本。在本文中,我们为内容交付网络(cdn)中的应用程序提出了一种新的分发策略。它专门用于上下文感知服务(CAS)。其主要思想是对在特定位置增加一个副本所获得的收益进行货币价值评估,并将该价值与副本造成的成本进行比较。这样,复制品对整体利润的贡献就确定了。副本的利润取决于每个时间间隔接收到的请求数量。副本只放置在请求率高到足以让利润变为正的位置。为了仅对请求率的持续和重大变化作出反应,使用了统计过程控制的技术。通过仿真对新策略进行了评价。结果表明,与目前应用的替代方案相比,它消耗的存储和带宽要少得多,同时为客户端提供了相当的性能改进
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A profit maximizing distribution strategy for context-aware services
Large scale mobile commerce applications need to be replicated and distributed to offer an appropriate quality of service to a large audience. In this context, a very important question is when and where replicas should be placed. In this article we present a new distribution strategy for applications in content delivery networks (CDNs). It is intended to be used especially for context-aware services (CAS). The main idea is to monetarily value the benefits that an additional replica gains at a certain location and to compare this value with the costs a replica causes. In this way, the replica's contribution to the overall profit is determined. A replica's profit is dependent on the number of requests it receives per time interval. Replicas are only placed at locations where the request rate is high enough to let the profit become positive. In order to react only to persistent and significant changes of the request rate, techniques from statistical process control are used. The new strategy is evaluated by simulation. The results suggest that it consumes significantly less storage and bandwidth than currently applied alternatives, while offering a comparable performance improvement for the clients
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