Worried about the performance and reliability of your data-intensive application?
A Capgemini research shows that only 13% of organizations have achieved full-scale production for their Data-Intensive applications (DIA). In particular the research refers to applications using Big Data implementations, such as Hadoop MapReduce, Apache Storm or Apache Spark. Apart of the correct deployment and optimization of a DIA, software engineers face the problem of achieving performance and reliability requirements. Definitely, a framework to assist in guaranteeing these requirements in the very early phases of the development could be of great help. Consider that in later phases, the ecosystem of a cluster is not completely controllable. Therefore, predictions of throughputs, service times or scalabilities with varying number of users, workloads, network traffic or failures are a need. Within the DICE project, Simulation tool has been developed to help achieve that.