EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations

Subtle implementation errors or mis-configurations in complex Internet services may lead to performance degradations without causing failures. These undiscovered performance anomalies afflict many of today's systems, causing violations of service-level agreements (SLAs), unnecessary resource overprovisioning, or both. In this paper, we re-inserted realistic anomaly causes into a multi-tier Internet service architecture and studied their manifestations. We observed that each cause had certain workload and management parameters that were more likely to trigger manifestations, hinting that such parameters could be effective classifiers. This observation held even when anomaly causes manifested differently in combination than in isolation. Our study motivates EntomoModel, a framework for depicting performance anomaly manifestations. EntomoModel uses decision tree classification and a design-driven performance model to characterize the workload and management policy settings under whic...

• Type: Conference
• Year: 2010
• Where: MASCOTS
• Authors: Christopher Stewart, Kai Shen, Arun Iyengar, Jian Yin
• Keywords: Internet Service, Management Parameters, MASCOTS 2010, Modeling And Simulation, Performance Anomaly Manifestations