The Rhino Software Campus project addresses scalable data stream processing and analytics challenges arising in Big Data, Cloud Computing, Industry 4.0, and IoT (Internet of Things) applications. Rhino also aims to develop a novel state management solution for scalable (i.e., low-latency, high-throughput) stream processing that enables fine-grained fault-tolerance, on-demand resource scaling, and load balancing in the presence of very large (e.g., hundreds of GBs) distributed state. In the end the objective is to develop a technological framework that seamlessly provides fault-tolerance, resource-scaling with zero downtime, and offers high-resource efficiency, lower operational costs, and reduced time-to-knowledge to end-users working on large-scale data applications.
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