With the dramatic growth of the WWW, several caching policies were proposed in order to improve Web cache system performance. However, the study of caching policies has experimented a strong diminishing in the last few years. In this work we investigate whether new caching policies could improve a cache system performance. Moreover, by analyzing traces of real Web proxies located in different places of the Web, we evaluate the main factors that cause periods of poor performance in caching systems. Our results can be used to guide the design of new cache replacement policies for the WWW.
Caching objects in Internet environment is aimed to reduce bandwidth consumption and increase the response time of system in term of user perception.Researcher believes that the ::: performance of web cache is dependent on user access behavior.Therefore, many studies on workload of the internet web cache have been conducted.However, in the web cache environment, ::: the study in inter-reference time of the successive requests is rarely.This paper tries to explore the characteristic of workload of the internet web cache, especially on the inter reference time (IRT).Based on the correlation test and trend analysis, it can be concluded that IRT is reasonable to be applied as a metric of web ::: cache replacement policy.
Existing network coding architectures such as COPE in wireless networks depend on opportunistic listening to improve network throughput. Data cache management for the purpose of decoding to enhance the performance gain of network coding has not been deeply investigated. In this paper, we present a general model to address this problem, aiming at improving decoding efficiency of network coding and thus exploiting network throughput gain. We formulate the caching policy design as an optimization problem for maximizing caching decoding efficiency. Based on the model, we propose a distributed network coding caching policy(NCP) where each node independently manages the cache to maximize decoding efficiency. We theoretically analyze the performance improvement of NCP over COPE. We also use simulation experiments based on ns2 to validate our analytical model and verify the performance gain.