Search results for "Web traffic analysis"

showing 2 items of 2 documents

Modeling a non-stationary bots’ arrival process at an e-commerce Web site

2017

Abstract The paper concerns the issue of modeling and generating a representative Web workload for Web server performance evaluation through simulation experiments. Web traffic analysis has been done from two decades, usually based on Web server log data. However, while the character of the overall Web traffic has been extensively studied and modeled, relatively few studies have been devoted to the analysis of Web traffic generated by Internet robots (Web bots). Moreover, the overwhelming majority of studies concern the traffic on non e-commerce websites. In this paper we address the problem of modeling a realistic arrival process of bots’ requests on an e-commerce Web server. Based on real…

Web serverGeneral Computer ScienceComputer scienceInternet robotReal-time computing02 engineering and technologyE-commercecomputer.software_genreSession (web analytics)Theoretical Computer ScienceWeb traffic characterizationWeb serverWeb traffic0202 electrical engineering electronic engineering information engineeringTraffic generation modelWeb traffic analysis and modelingbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsWeb botHeavy-tailed distributionModeling and SimulationHeavy-tailed distribution020201 artificial intelligence & image processingThe InternetWeb log analysis softwareLog file analysisData miningbusinessRegression analysiscomputerJournal of Computational Science
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Characterizing Web sessions of e-customers interested in traditional and innovative products

2016

Web traffic characterization and modelling is currently a hot research issue. Low-level analysis of HTTP traffic on the server allows one to build adequate traffic models to be used in server benchmarking. High-level analysis of Web user behavior allows one to optimize website structure and develop personalized service strategies. In this paper, analysis of customer sessions in an online store is performed using Web server log data. The goal is to explore possible differences between sessions of customers viewing and purchasing innovative products, and customers only interested in traditional products.

customer behavioruser sessionclick-stream analysisComputer scienceWeb serverinnovative productslog file analysisWeb traffic analysisecommerce
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