R-Capriccio: a capacity planning and anomaly detection tool for enterprise services with live workloads
Qi Zhang, Ludmila A. Cherkasova, Guy Mathews, Wayne M. Greene, Evgenia Smirni · 2007
As the complexity of IT systems increases, performance management and capacity planning become the largest and most difficult expenses to control. New methodologies and modeling techniques that explain large-system behavior and help predict their future performance are now needed to effectively tackle the emerging performance issues. With the multi-tier architecture paradigm becoming an industry standard for developing scalable client-server