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In this tutorial we present the results of recent research about the cloud enablement of data streaming systems. We illustrate, based on both industrial as well as academic prototypes, new emerging uses cases and research trends. Specifically, we focus on novel approaches for (1) scalability and (2) fault tolerance in large scale distributed streaming(More)
We describe an Internet-based collaborative environment that protects geographically dispersed organizations of a critical infrastructure (e.g., financial institutions, telco providers) from coordinated cyber attacks. A specific instance of a collaborative environment for detecting malicious inter-domain port scans is introduced. This instance uses the open(More)
Today's business workflows are very likely to include batch computations that periodically analyze subsets of data relative to specific time ranges in order to provide strategic information for stakeholders and other interested parties. The frequency of these computations directly impacts on how much updated such information can be, which provides an(More)
Applications based on event processing are often designed to continuously evaluate set of events defined by sliding time windows. Solutions employing long-running continuous queries executed in-memory show their limits in applications characterized by a staggering growth of available sources that continuously produce new events at high rates (e.g. intrusion(More)
Replicated services that allow to scale dynamically can adapt to requests load. Choosing the right number of replicas is fundamental to avoid performance worsening when input spikes occur and to save resources when the load is low. Current mechanisms for automatic scaling are mostly based on fixed thresholds on CPU and memory usage, which are not(More)