Cache Replacement Schemes based on Adaptive Time Window for Video on Demand Services in Femtocell Networks
The cache replacement policy is a crucial phase in caching-based systems that deal with the process of selecting applicable cache contents. In this paper, we propose two novel cache replacement algorithms based on the dataset obtained from a typical wireless femto network. In the first algorithm, called Weighted Least Frequently used with an Adaptive Time Window (WLF-ATW), we aim to make a balance between the network‚??s traffic and the recognition of popular contents. The WLF-ATW algorithm takes the frequency and the recency information of files into account to ascertain the popularity of contents. We suggest another new cache replacement policy namely Fairness Scheduling-based with an Adaptive Time Window (FS-ATW) that is based on fairness scheduling in order to minimize the user‚??s access delay. The novelty of our proposed FS-ATW lies in ranking clients according to their last situations that lead to a further user‚??s experience. The effectiveness of these new algorithms is evaluated from the cache hit ratio, transferred byte volume, user‚??s access delay, user‚??s experience and load balance. A comprehensive numerical evaluation shows that the performance of the proposed WLF-ATW and FS-ATW algorithms is significantly better than some existing cache replacement strategies
Femtocell, Cache, Cache Updating, Content Updating, Wireless Network.