A broker-based framework for multi-cloud workflows
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds
DynamicCloudSim: simulating heterogeneity in computational clouds
Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies
On the validity of flow-level tcp network models for grid and cloud simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Simulation is one of the most popular evaluation methods in scientific workflow studies. However, existing workflow simulators fail to provide a framework that takes into consideration heterogeneous system overheads and failures. They also lack the support for widely used workflow optimization techniques such as task clustering. In this paper, we introduce WorkflowSim, which extends the existing CloudSim simulator by providing a higher layer of workflow management. We also indicate that to ignore system overheads and failures in simulating scientific workflows could cause significant inaccuracies in the predicted workflow runtime. To further validate its value in promoting other research work, we introduce two promising research areas for which WorkflowSim provides a unique and effective evaluation platform.