A methodology for workload characterization of E-commerce sites

Menascé, Daniel A.; Almeida, Virgílio A. F.; Fonseca, Rúbia Santos; Mendes, Marco Aurélio de Souza

doi:10.1145/336992.337024

Cited by 213 publications

(195 citation statements)

References 3 publications

Supporting

Mentioning

180

Contrasting

Unclassified

Order By: Relevance

“…The methodology used to prove it was based on the modeling of user navigation through a Markov chain model and the computation of the model entropy. The results obtained emphasizes the usefulness of MASKS to the Web user activities of browsing and searching for specific information, which are the main points of privacy invasion [CyberDialogue, 1999Jand the activities that spend most of the user time [Menasce et al, 1999].…”

Section: Discussionmentioning

confidence: 84%

Masks: Managing Anonymity While Sharing Knowledge to Servers

Pinto

Ishitani

Almeida

et al. 2004

Security and Protection in Information Processing Systems

View full text Add to dashboard Cite

This work presents an ar chitecture that allows users to enha nce their pri vacy control over t he com putational environment . Web pr ivacy is a topic that is raising, nowad ays, many discussions. Usu ally, peopl e do not know how their privacy can be violated or what ca n be done to protect it. Among the gener ated conllicts, we would like to show up t he one that happens between privacy and personalization: by one sid e, users appreciate the idea of receiving personalized services a nd do not a pprove the collection , tracing and an alysis of their ac tions; by the other side, personalization se rvices need this type of informa tion in order to profile their users . The a rchitec t ure presented in this a rt icle helps users to understand better how their privacy ca n be invaded and, a t the same time, gives them a better cont rol of their privacy, through anonymit y, without preventing them from receiving personalized services.

show abstract

Section: Discussionmentioning

confidence: 84%

Masks: Managing Anonymity While Sharing Knowledge to Servers

Pinto

Ishitani

Almeida

et al. 2004

Security and Protection in Information Processing Systems

View full text Add to dashboard Cite

show abstract

“…For example, in a real system one cannot place an order before adding some item to the shopping cart. It is therefore natural to use Markovian models, in which the different operations are the states of a Markov chain, and the transition probabilities represent the probability that one operation follows another [485]. Conveniently, these probabilities are easy to estimate from data by simply counting how many times each operation occurred after each other operation.…”

Section: Sequences Of Operationsmentioning

confidence: 99%

“…Rather, they are nonstationary with a different mix of transaction types at different times of the day [661]. Also, clients may have different profiles, which require representation by different transition probabilities [485].…”

Section: Sequences Of Operationsmentioning

confidence: 99%

Workload Modeling for Computer Systems Performance Evaluation

Feitelson

2015

184

129

View full text Add to dashboard Cite

Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains.

show abstract

“…Several session-based web workload models have been proposed, based on detailed analyses of real web traces (Menascé et al, 1999;Akula and Menascé, 2007). A dominant fraction of these models (Menascé et al, 1999;Carlstrom and Rom, 2002;Singhmar et al, 2004;Elnikety et al, 2004;Chen and Mohapatra, 2002), as well as workload generators of web server performance benchmarks, such as TPC-W (TPC-W, 2005), use first or higher-order Markov chains to model session structure.…”

Section: Web Workload Modelmentioning

confidence: 99%

“…Our study follows this practice and adopts the Customer Behavior Model Graph (CBMG) (Menascé et al, 1999) approach for session structure modeling. CBMG is a state transition graph (i.e., a first-order Markov chain), where states denote results of service requests (web pages), and transitions denote possible service invocations.…”

Section: Web Workload Modelmentioning

confidence: 99%

RDRP: Reward-Driven Request Prioritization for e-Commerce web sites

Totok

Karamcheti

2010

Electronic Commerce Research and Applications

View full text Add to dashboard Cite

Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.

show abstract

A methodology for workload characterization of E-commerce sites

Cited by 213 publications

References 3 publications

Masks: Managing Anonymity While Sharing Knowledge to Servers

Masks: Managing Anonymity While Sharing Knowledge to Servers

Workload Modeling for Computer Systems Performance Evaluation

RDRP: Reward-Driven Request Prioritization for e-Commerce web sites

Contact Info

Product

Resources

About