Dependability Testing Of Mapreduce Systems

MapReduce systems have been widely used by several applications, from search tools to financial and commercial systems. There is considerable enthusiasm around MapReduce systems due to their simplicity and scalability. However, there is a lack of a testing approach, and a framework ensure their dependability. In this work we propose a complete dependability testing solution for MapReduce systems. This solution is a model-based approach for generate representative fault cases, and a testing framework to automate their execution. Moreover, we introduce a new way to model distributed components using Petri Nets, and we show the promising results of the proposed testing framework, HadoopTest, on identifying faulty systems in real deployment scenarios.