Diagnosing Performance Changes by Comparing System Behaviours

Autor: Alice X. Zheng, Lianghong Xu, William Yang Wang, Elie Krevat, Gregory R. Ganger, Spencer Whitman, Raja R. Sambasivan, Michael Stroucken
Rok vydání: 2010
Předmět:
DOI: 10.21236/ada528600
Popis: The causes of performance changes in a distributed system often elude even its developers. This paper develops a new technique for gaining insight into such changes: comparing system behaviours from two executions (e.g., of two system versions or time periods). Building on end-to-end request flow tracing within and across components, algorithms are described for identifying and ranking changes in the flow and/or timing of request processing. The implementation of these algorithms in a tool called Spectroscope is described and evaluated. Five case studies are presented of using Spectroscope to diagnose performance changes in a distributed storage system caused by code changes and configuration modifications, demonstrating the value and efficacy of comparing system behaviours.
Databáze: OpenAIRE