Abstract
Web cache performance has been reduced in Web 2.0 applications due to the increase of the update rate of the contents and of the personalization of the web pages. This problem must be minimized by the caching of content fragments instead of the complete web page. We propose a rule-based optimization algorithm to define the fragments design that experiment a best performance. This algorithm uses characterization parameters of the fragment contents to find the optimized solution.
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Guerrero, C., Juiz, C., Puigjaner, R. (2010). Rule-Based System to Improve Performance on Mash-up Web Applications. In: de Leon F. de Carvalho, A.P., RodrÃguez-González, S., De Paz Santana, J.F., RodrÃguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_73
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DOI: https://doi.org/10.1007/978-3-642-14883-5_73
Publisher Name: Springer, Berlin, Heidelberg
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