Detecting Bottleneck in n-Tier IT Applications Through Analysis

As the complexity of large-scale enterprise applications increases, providing performance verification through staging becomes an important part of reducing business risks associated with violating sophisticated service-level agreement (SLA). Currently, performance verification during the staging process is accomplished through either an expensive, cumbersome manual approach or ad hoc automation. This paper describes an automation approach as part of the Elba project supporting monitoring and performance analysis of distributed multi-tiered applications that helps in bottleneck detection. We use machinelearning to determine service-level objectives (SLOs) satisfaction and locate bottlenecks in candidate deployment scenarios. We evaluate our tools with TPC-W, an on-line bookstore, and RUBiS, an on-line auction site.

• Type: Conference
• Year: 2006
• Where: DSOM
• Authors: Gueyoung Jung, Galen S. Swint, Jason Parekh, Calton Pu, Akhil Sahai
• Keywords: Computer Networks, Cumbersome Manual Approach, DSOM 2006, Performance Verification, Sophisticated Service-level Agreement