Access the full text.
Sign up today, get DeepDyve free for 14 days.
Caches are a critical element of web-based information systems. Understanding the expected behaviour of cache policies is especially important for achieving good quality of service. Existing works have suggested that the behaviour of the web demand can be modelled as a Zipf distribution with 1. New evidence, which is presented in this paper, shows that today websites are following Zipf distributions with > 1. This article analyses real logs obtained from the client layer of high traffic websites. The main result of this article is that under these conditions, the cache hit ratio can be extremely high with a very small cache size. This means that a very expensive and high resource demanding cache is not needed for effective implementation: a cache size equal to 0.6% of the working set is enough to reach more than 80% of hit ratio, once the right replacement policy has been chosen. Keywords: web cache; Zipf distribution; web logs; hit rate; web performance. Reference to this paper should be made as follows: Zotano, M.G., G´mez-Sanz, J. and Pav´n, J. (2015) `Impact of traffic distribution on web o o cache performance', Int. J. Web Engineering and Technology, Vol. 10, No. 3, pp.202213. Biographical
International Journal of Web Engineering and Technology – Inderscience Publishers
Published: Jan 1, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.