A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
The Operational Analysis of Queueing Network Models
ACM Computing Surveys (CSUR)
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
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Web Services Interaction Models, Part 1: Current Practice
IEEE Internet Computing
IEEE Internet Computing
Performance Monitoring of Remote Websites Using Mobile Agents
Software Quality Control
Testing web applications focusing on their specialties
ACM SIGSOFT Software Engineering Notes
Autonomic management of J2EE edge servers
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Synthesizing client load models for performance engineering via web crawling
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Fault-tolerant performance checking application for distributed computing and supply chain networks
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
Continuous testing for enterprise portal technology refresh
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Online game testing using scenario-based control of massive virtual users
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Web Application Performance Modeling Using Layered Queueing Networks
Electronic Notes in Theoretical Computer Science (ENTCS)
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Developers typically measure a Web application's quality of service in terms ofresponse time, throughput, and availability. Poor QoS translates into frustrated customers, which can lead to lost business opportunities. At the same time, company expenditures on a Web site's IT infrastructure are a function of the site's expectedtraffic. Ideally, you want to spend enough, and no more, allocating resources where they'll generate the most benefit. For example, you shouldn't upgrade your Web servers if customers experience most delays in the database server or load balancer. Thus, to maximize your ROI, you must determine when and how to upgrade IT infrastructure.