NDLI: The Impact of User's Dynamic Behavior on Web Performance

Content Provider	IEEE Xplore Digital Library
Author	Pena-Ortiz, R. Gil, J.A. Sahuquillo, J. Pont, A.
Copyright Year	2012
Abstract	The increasing popularity of web applications has introduced a new paradigm where users are no longer passive web consumers but they become active contributors to the Web, specially in the contexts of social networking, blogs, wikis or e-commerce. In this new paradigm, contents and services are even more dynamic, which consequently increases the level of dynamism in user's behavior. Moreover, this trend is expected to rise in the incoming Web. This dynamism is a major adversity to define and model representative web workload, in fact, this characteristic is not fully represented in the most of the current web workload generators. This work proves that the web user's dynamic behavior is a crucial point that must be addressed in web performance studies in order to accurately estimate system performance indexes. In this paper, we analyze the effect of using a more realistic dynamic workload on the web performance metrics. To this end, we evaluate a typical e-commerce scenario and compare the results obtained using dynamic workload instead of traditional workloads. Experimental results show that, when a more dynamic and interactive workload is taken into account, performance indexes can widely differ and noticeably affect the stress borderline on the server. For instance, the processor usage can increase 20% due to dynamism, affecting negatively average response time perceived by users, which can also turn in unwanted effects in marketing and fidelity policies.
Starting Page	143
Ending Page	150
File Size	402338
Page Count	8
File Format	PDF
ISBN	9781467322140
DOI	10.1109/NCA.2012.9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Measurement Navigation Browsers Time factors System performance Marketing and sales Dynamic web workload Web performance evaluation Web dynamism User's dynamic behavior
Content Type	Text
Resource Type	Article

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