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Caching strategy and service policy optimization in a cache-satellite distribution service

机译：卫星高速缓存分发服务中的高速缓存策略和服务策略优化

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This paper introduces the caching strategy and service policy optimization problem in a cache-satellite distribution service and formulates it as a mathematical optimization problem. A number of system performances like hit rate, cache disk space, bandwidth gain, bandwidth requirements for the satellite channel and latency experienced by the clients were modeled into a mathematical formulation. To show how the optimal caching and service policy responds to the system parameter changes, computational experiments were performed on a hypothetical market having forty ISPs and one billion Web documents. It was found that the correlation between document size and popularity is most influential and the concentration of popularity appeared to be the main factor determining the sensitivity of the optimal caching levels and the corresponding system performances like hit rate and byte hit rate. The achieved hit rate ranged between 64 and 74% with the corresponding caching levels of 25 to 40%. Based on these findings, the importance of caching strategy and service policy optimization was discussed and a number of further research issues were suggested.
机译：本文介绍了卫星高速缓存分发服务中的缓存策略和服务策略优化问题，并将其表述为数学优化问题。将许多系统性能（如命中率，高速缓存磁盘空间，带宽增益，卫星通道的带宽要求和客户端经历的延迟）建模为数学公式。为了显示最佳缓存和服务策略如何响应系统参数更改，在具有40个ISP和10亿个Web文档的假设市场上进行了计算实验。发现文件大小和受欢迎程度之间的相关性最具影响力，受欢迎程度的集中似乎是决定最佳缓存级别的敏感性以及命中率和字节命中率等相应系统性能的主要因素。达到的命中率介于64％到74％之间，相应的缓存级别为25％到40％。基于这些发现，讨论了缓存策略和服务策略优化的重要性，并提出了许多进一步的研究问题。

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