Loïc Petit

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Querying streams of data from the sensors or other devices requires several operators. One of the most important operators is called Windowing. Creating windows consists in grouping of tuples from data streams at a specific rate according to a certain pattern. A large variety of window patterns exist and reflect different data management semantics that are(More)
The use of stream based applications is in expansion in many contexts and easy and efficient data stream management is crucial for such applications. That is why numerous solutions for stream query processing have been proposed by the scientific community. Several query processors exist and offer heterogeneous querying capabilities. This paper reports a(More)
Preference queries have been largely studied for relational systems but few proposals exist for stream data systems. Most of the existing proposals concern the skyline, top-k or top-k dominating queries, coupled with the sliding-window operator. However, user preferences queries on data streams may be more sophisticated than simple skyline or top-k and may(More)
Wireless sensor networks are rapidly finding their way through a plethora of new applications like precision farming and forestry, with increasing network scale, system complexity, and data rate. While scalable MAC and routing protocols for sensor networks have been well addressed in recent years, the scalability of the back-end storage architecture has(More)
Preference queries have been largely studied for relational systems but few proposals exist for stream data systems. Most of the existing proposals concern the skyline, top-k or top-k dominating queries, coupled with the sliding-window operator. However, user preferences queries on data streams may be more sophisticated than skyline or top-k and may involve(More)
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