Characterizing quality of resilience in scientific workflows
Proceedings of the 6th workshop on Workflows in support of large-scale science
Analysing Quality of Resilience in Fish4Knowledge Video Analysis Workflows
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Scientific workflows generally involve the distribution of tasks to distributed resources, which may exist in different administrative domains. The use of distributed resources in this way may lead to faults, and detecting them, identifying them and subsequently correcting them remains an important research challenge. We introduce a fault taxonomy for scientific workflows that may help in conducting a systematic analysis of faults, so that the potential faults that may arise at execution time can be corrected (recovered from). The presented taxonomy is motivated by previous work [4], but has a particular focus on workflow environments (compared to previous work which focused on Grid-based resource management) and demonstrated through its use in Weka4WS.