Workflow performance evaluation through WPQL
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
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Information Systems Frontiers
ICEIMT '01 Proceedings of the IFIP TC5/WG5.12 International Conference on Enterprise Integration and Modeling Technique: Enterprise Inter- and Intra-Organizational Integration: Building International Consensus
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HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
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ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
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Scientific Programming - AxGrids 2004
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GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
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Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities
DIPAS: A distributed performance analysis service for grid service-based workflows
Future Generation Computer Systems
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
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Grid computing: experiment management, tool integration, and scientific workflows
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International Journal of High Performance Computing Applications
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CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In this paper we propose a systematic approach to performance analysis of workflow applications on the Grid. We introduce an ideal model for the workflow execution time and explain the difference to the real measured times based on a hierarchy of performance overheads for Grid computing. We describe how to systematically measure and compute the overheads from individual activities to entire workflow applications. We adjusted well-known parallel processing metrics to the scope of Grid computing, comprising speedup and efficiency. We have implemented and largely automatised our analysis approach in the context of the ASKALON Grid application development and computing environment. We present experimental results that show detailed overhead analysis of two real-world workflow applications executed in a national Grid environment.