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The continuous growth of sensor networks, stock exchanges, climate monitoring or scientific applications produces new streaming data at increasing rates. Managing and processing such data, sometimes generated from multiple geographical locations, raises important challenges as it requires real-time processing or data aggregation. Conventional solutions like DBMS, MapReduce or dedicated solutions adopting...
This paper focuses on Platform as a Service (PaaS). From the advent of Cloud computing, the latest trend has been to design ad hoc platforms specialized to address given operational scenarios. In this context, the need of an adaptable, fault tolerant and secure cloud platform for the development of specific PaaS is becoming more and more compelling. In this work, we present the Distributed Resilient...
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