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Despite extensive preventive efforts, falls continue to be a major source of morbidity and mortality among elders. Real-time detection of falls and their urgent communication to a telecare center may enable rapid medical assistance, thus increasing the sen ...
Programs expressed in a high-level programming language need to be translated to a low-level machine dialect for execution. This translation is usually accomplished by a compiler, which is able to translate any legal program to equivalent low-level code. B ...
We live in a world characterized by massive information transfer and real-time communication. The demand for efficient yet low-complexity algorithms is widespread across different fields, including machine learning, signal processing and communications. Mo ...
Observability tools increase the transparency of the system and help practitioners identify a wide variety of bugs and bottlenecks. In this paper we claim that such tools (DTrace, in our case) can play a much more active role: the same features which allow ...
We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...
Applications ranging from algorithmic trading to scientific data analysis require realtime analytics based on views over databases that change at very high rates. Such views have to be kept fresh at low maintenance cost and latencies. At the same time, the ...
Computing statistical measures for large databases of time series is a fundamental primitive for querying and mining time-series data [1–6]. This primitive is gaining importance with the increasing number and rapid growth of time series databases. In this ...
The recent availability of geospatial information as linked open data has generated new interest in geospatial query processing and reasoning, a topic with a long tradition of research in the areas of databases and artificial intelligence. In this paper we ...
Cluster computing systems today impose a trade-off between generality, performance and productivity. Hadoop and Dryad force programmers to write low level programs that are tedious to compose but easy to optimize. Systems like Dryad/LINQ and Spark allow co ...
The number of students enrolled in universities at standard and online programming courses is huge. This calls for automated evaluation of students assignments and for automated support for learning. We aim at developing methods and tools for objective and ...
