Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties

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Author(s): James H. Hill (Indiana University-Purdue University Indianapolis, USA)
Copyright: 2011
Pages: 24
Source title: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains
Source Author(s)/Editor(s): A.V. Senthil Kumar (CMS College of Science and Commerce, India)
DOI: 10.4018/978-1-60960-067-9.ch009

Keywords: Data Mining and Databases / Information Science Reference / Knowledge Discovery / Library & Information Science

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Abstract

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.

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