Capacity planning and performance modeling: from mainframes to client-server systems
Capacity planning and performance modeling: from mainframes to client-server systems
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Internet Web servers: workload characterization and performance implications
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
In search of invariants for e-business workloads
Proceedings of the 2nd ACM conference on Electronic commerce
The Operational Analysis of Queueing Network Models
ACM Computing Surveys (CSUR)
Business-oriented resource management policies for e-commerce servers
Performance Evaluation - Special issue on internet performance modelling
Characterizing the scalability of a large web-based shopping system
ACM Transactions on Internet Technology (TOIT)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning: An Essential Tool for Managing Web Services
IT Professional
Server Capacity Planning for Web Traffic Workload
IEEE Transactions on Knowledge and Data Engineering
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Capacity planning is a powerful tool for managing quality of service on the Web. This tutorial presents a capacity planning methodology for Web-based environments, where the main steps are: understanding the environment, characterizing the workload, modeling the workload, validating and calibrating the models, forecasting the workload, predicting the performance, analyzing the cost-performance plans, and suggesting actions. The main steps are based on two models: a workload model and a performance model. The first model results from understanding and characterizing the workload and the second from a quantitative description of the system behavior. Instead of relying on intuition, ad hoc procedures and rules of thumb to understand and analyze the behavior of Web services, this tutorial emphasizes the role of models, as a uniform and formal way of dealing with capacity planning problems.