38573

Автор(ов): 

2

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
A Caching Policy Driven by Clusters of High Popularity
Электронная публикация: 
Да
DOI: 
978-1-5090-0304-4/16/
Наименование источника: 
Proceedings of the IEEE 7th International Workshop on TRaffic Analysis and Characterization
Город: 
Paphos
Издательство: 
IEEE
Год издания: 
2016
Страницы: 
363-368
Аннотация
Caching is applied to provide requested documents or contents quickly from the cache (a short memory). We consider the Cluster Caching Rule policy proposed recently in Markovich (2015). The idea of the rule is to keep only highly popular contents in the cache. Due to dependency in the inter-request process and heavy-tailed distributed inter-arrival and inter-request times, such frequently requested documents arise in clusters of popularity. The corresponding clusters of documents are loaded in the cache. If the requested document is present in the previous cluster, then it stays further in the cache. Otherwise, it is evicted from the cache. We propose the hit/miss probabilities of such caching policy. The cache size estimation is considered. A mixture of $m-$dependent Markov and Poisson renewal processes is proposed as an example of an inter-request times model.
Библиографическая ссылка: 
Маркович Н.М., Krieger U. R. A Caching Policy Driven by Clusters of High Popularity // Proceedings of the IEEE 7th International Workshop on TRaffic Analysis and Characterization. 2016. С. 363-368.