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A Novel Cache Replacement Policy for Web Proxy Caching System Using Web Usage Mining

机译:使用Web用法挖掘的Web代理缓存系统的一种新的缓存替换策略

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Network congestion remains one of the main barriers to the continuing success of the internet and Web based services. In this background, proxy caching is one of the most successful solutions for civilizing the performance of Web since it reduce network traffic, Web server load and improves user perceived response time. Here, the most popular Web objects that are likely to be revisited in the near future are stored in the proxy server thereby it improves the Web response time and saves network bandwidth. The main component of Web caching is it cache replacement policy. It plays a key role in replacing existing objects when there is no room for new one especially when cache is full. Moreover, the conventional replacement policies are used in Web caching environments which provide poor network performance. These policies are suitable for memory caching since it involves fixed sized objects. But, Web caching which involves objects of varying size and hence there is a need for an efficient policy that works better in Web cache environment. Moreover, most of the existing Web caching policies have considered few factors and ignored the factors that have impact on the efficiency of Web proxy caching. Hence, it is decided to propose a novel policy for Web cache environment. The proposed policy includes size, cost, frequency, ageing, time of entry into the cache and popularity of Web objects in cache removal policy. It uses the Web usage mining as a technique to improve Web caching policy. Also, empirical analyses shows that proposed policy performs better than existing policies in terms of various performance metrics such as hit rate and byte hit rate.
机译:网络拥塞仍然是互联网和基于Web的服务持续成功的主要障碍之一。在这种背景下,代理缓存是使Web性能文明化的最成功解决方案之一,因为它减少了网络流量,Web服务器负载并改善了用户感知的响应时间。在这里,最有可能在不久的将来重新访问的最受欢迎的Web对象存储在代理服务器中,从而缩短了Web响应时间并节省了网络带宽。 Web缓存的主要组成部分是缓存替换策略。当没有新对象的空间时,尤其是在缓存已满时,它在替换现有对象中起着关键作用。而且,常规的替换策略用于提供较差网络性能的Web缓存环境中。这些策略涉及固定大小的对象,因此适用于内存缓存。但是,Web缓存涉及大小不同的对象,因此需要一种在Web缓存环境中更好地工作的有效策略。而且,大多数现有的Web缓存策略都只考虑了很少的因素,而忽略了影响Web代理缓存效率的因素。因此,决定提出一种用于Web缓存环境的新颖策略。提议的策略包括大小,成本,频率,老化,进入缓存的时间以及在缓存删除策略中Web对象的普及程度。它使用Web使用情况挖掘作为一种改进Web缓存策略的技术。同样,经验分析表明,在各种性能指标(如命中率和字节命中率)方面,拟议策略的性能要优于现有策略。

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