Stream: Scalable Autonomic Streaming Middleware for Real Time Processing of Massive Data Flows
This is an information stand, located in Zone E: Information Booths. Stand number: E07
Recent achievements from the Stream project put the emphasis on current industrial pilots.
The Stream project stands for scalable autonomic streaming middleware for real-time processing of massive data flows. In addition to posters, this stand will feature videos of current pilot demonstrations, focusing on service level agreement (SLA) compliance monitoring, credit card fraud detection and cellular telephony fraud detection, with the aim of showing how the underlying ‘plumbing’ works. These videos will feature graphs on the number of nodes used, and how these nodes can adapt to changes in the workload. They will also show the evolution of resource consumption with respect to incoming workloads.
Coordinator: Ricardo JIMENEZ-PERIS (Universidad Politecnica de Madrid (UPM), Distributed Systems Lab (LSD), Spain)