The amount of chip power that is consumed for cache storage size maintenance is optimized by the close monitoring and control of frequency of missed requests, and the proportion of frequently recurring items to all traffic items. The total number of hit slots is measured per interval of time and is compared to the theoretical value based on random distribution. If the missed rate is high, then the observed effect and value of increasing cache size are deduced by observing how this increase affects the distribution of hits on all cache slots. As the number of frequently hit items in proportion to the total traffic items increases, the benefits of increasing the cache size decreases.

 
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> Minimizing system downtime through intelligent data caching in an appliance-based business continuance architecture

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