SURFING THE WEB USING BROWSER INTERFACE FALILITIES: A PERFORMANCE EVALUATION APPROACH

Authors

  • RAUL PE~ NA-ORTIZ Departament d'Informatica de Sistemes i Computadors Universitat Politecnica de Valencia Cam de Vera s/n, 46022, Valencia, Spain and Facultad de Ingeniera en Sistemas, Electronica e Industrial Universidad Tecnica de Ambato, Campus Huachi, Edi cio Zeta Ambato, Tungurahua, Ecuador
  • JOSE A. GIL Departament d'Informatica de Sistemes i Computadors Universitat Politecnica de Valencia Cam de Vera s/n, 46022, Valencia, Spain
  • JULIO SAHUQUILLO Departament d'Informatica de Sistemes i Computadors Universitat Politecnica de Valencia Cam de Vera s/n, 46022, Valencia, Spain
  • ANA PONT Departament d'Informatica de Sistemes i Computadors Universitat Politecnica de Valencia Cam de Vera s/n, 46022, Valencia, Spain

Keywords:

Web performance evaluation, Web dynamism, User's dynamic behavior, Dynamic web workload, Human-Computer Interaction

Abstract

The user interaction with the current web contents is a major concern when dening web workloads in order to precisely estimate system performance. However, the intrinsic diculty to represent this dynamic behavior with a workload model has caused that many research studies are still using non representative workloads of the current web navigations. In contrast, in previous works we demonstrated that the use of an accurate workload model which considers user's dynamism when navigating the web clearly aects system performance metrics. In this paper we analyze, for the rst time, the eect of considering the User-Browser Interaction as a part of user's dynamic behavior on web workload characterization in performance studies. To this end, we evaluate a typical e-commerce scenario and compare the obtained results for dierent behaviors that take the user interaction into account, such as the use of the back button and parallel browsing originated by using browser tabs or opening new windows when surng a website. Experimental results show that these interaction patterns allow users to achieve their navigation objectives sooner, so increasing their productivity up to 200% when surng the Web. In addition, results prove that when this type of navigations is taken into account, performance indexes can widely dier and relax the stress borderline of the server. For instance, the server utilization drops as much as 45% due to parallel browsing behavior.

 

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Published

2015-03-01

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