This paper looks at the issue of optimization for caching architectures for Internet Protocol (IP) router networks for unicast video. There are several optimization challenges when designing caching architectures. These include where the caches should be located, how much memory is needed per cache, which services should be cached where, and whether hierarchical or single level caching should be used. This paper investigates topology issues and the difficulty of caching long tail content. We propose some solutions to cache architecture optimization and partitioning and look at the issue of caching long tail content. ยฉ 2008 Alcatel-Lucent.
for a given network which caching architecture will produce the most economic benefit. This paper will investigate the many considerations and complex problems associated with optimizing caching designs that result in a low cost network. The location of caches and memory per cache, deploying hierarchical caching, and even methods to partition cache memory for multiple services are not easy problems.
The benefit of caching depends on the cache effectiveness or hit rate-that is, the percentage of requests likely to be served from the cache. The popularity distribution of objects (e.g., channels or video titles) within a service governs which objects are most suitable for caching. Since popularity distributions will likely be different for each service, caching the same number of objects for two services will result in two different cache hit rates. The popularity of objects within a service is also a function of time-what is most popular today may not be as popular tomorrow-thus effective caching systems will need to measure the relative popularity of objects constantly. Nielsen*