• The KIPS Transactions:PartA
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• v.10A no.3
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• pp.261-268
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• 2003

In this paper, we propose a new caching strategy for web servers. The proposed strategy collects only the statistics of the requested file, for example the popularity, when a request arrives. At a point of time, only files with higher forecasted popularity are cached all together. Forecasted popularity based lazy caching (FPLC) strategy uses exponential smoothing method for forecast popularity of web files. And, FPLC strategy shows that the cache hit ratio and the cache transfer ratio are better than those produced by other caching strategy. Furthermore, the experiment that is performed with real log files built from web servers shows our study on forecast method for popularity of web files improves cache efficiency.

• The KIPS Transactions:PartA
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• v.11A no.7 s.91
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• pp.469-474
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• 2004

As traffic on the web increases, users are faced with increasing delays. A key performance measure for the web is the speed with which object is served to users. Web caching is the one of the key method that improve performance of Web base system. Also, many studies for efficient management of storing scope on cache are performed actively. An important issue in web caching is how to improve a efficiency of a caching system. For this, efficient web cache management is required. A solution for this is to set up the caching strategy that consider a heterogeneity of Web object. In this paper, We propose a new web caching technique for a performance improvement of a multimedia object process. The proposed method is based on a heterogeneity of Web object, and it increases performance of a caching system by increasing the caching efficiency of a multimedia object. In the experiment, We verified performance improvement of proposed web caching system through performance analysis of a proposed system.