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

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

Author: 
Hill, James H.
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2010
Record type: 
Editor: 
Kumar, A.V. Senthil
Source: 
Knowledge Discovery Practices and Emerging Applications of Data Mining
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.

Series: 
Advances in Data Mining and Database Management

CITATION: Hill, James H.. Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties edited by Kumar, A.V. Senthil . Hershey, PA : IGI Global , 2010. Knowledge Discovery Practices and Emerging Applications of Data Mining - Available at: https://library.au.int/data-mining-system-execution-traces-validate-distributed-system-quality-service-properties