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Stream-Processing Points [PDF]
IEEE Visualization 2005 - (VIS'05), 2006 With the growing size of captured 3D models it has become increasingly important to provide basic efficient processing methods for large unorganized raw surface-sample point data sets. In this paper we introduce a novel stream-based (and out-of-core) point processing framework.
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Virtualizing Stream Processing [PDF]
, 2011 Stream processing systems have evolved into established solutions as standalone engines but they still lack flexibility in terms of large-scale deployment, integration, extensibility, and interoperability. In the last years, a substantial ecosystem of new applications has emerged that can potentially benefit from stream processing but introduces ...
Michael Duller +3 more
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Autopipelining for Data Stream Processing [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2013 Stream processing applications use online analytics to ingest high-rate data sources, process them on-the-fly, and generate live results in a timely manner. The data flow graph representation of these applications facilitates the specification of stream computing tasks with ease, and also lends itself to possible runtime exploitation of parallelization
Tang, Y., Gedik, B.
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Saber: window-based hybrid stream processing for heterogeneous architectures [PDF]
, 2015 Modern servers have become heterogeneous, often combining multicore CPUs with many-core GPGPUs. Such heterogeneous architectures have the potential to improve the performance of data-intensive stream processing applications, but they are not supported by
Costa, P +5 more
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StreamingCube: Seamless Integration of Stream Processing and OLAP Analysis
IEEE Access, 2020 Many organizations require real-time analysis of their business data streams to make instantaneous decisions. Data streams are often multidimensional and at the lowest level of abstraction, yet analysts are interested in their multilevel interactive ...
Salman Ahmed Shaikh, Hiroyuki Kitagawa
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Data Provenance and Management in Radio Astronomy: A Stream Computing Approach [PDF]
, 2011 New approaches for data provenance and data management (DPDM) are required for mega science projects like the Square Kilometer Array, characterized by extremely large data volume and intense data rates, therefore demanding innovative and highly efficient
Biem, Alain +4 more
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Stream processing coalgebraically
Science of Computer Programming, 2013 We study various operations for splitting, partitioning, projecting and merging streams of data. These operations are motivated by their use in dataflow programming and stream processing languages. We use the framework of stream calculus and stream circuits for defining and proving properties of such operations using behavioural differential equations ...
Niqui, M., Rutten, J.
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Applied Sciences, 2021 The real-time analysis of Big Data streams is a terrific resource for transforming data into value. For this, Big Data technologies for smart processing of massive data streams are available, but the facilities they offer are often too raw to be ...
Ilaria Bartolini, Marco Patella
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Network-Aware Stream Query Processing in Mobile Ad-Hoc Networks [PDF]
, 2015 Many real-time decision support and sensing applications can be expressed as continuous stream queries over time-varying data streams, following a data stream management model.
O'Keeffe, D, Pietzuch, PR, Salonidis, T
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A Problem of Detecting Stops While Tracking Moving Objects Under the Stream Processing Regime
Journal of Telecommunications and Information Technology, 2023 The tracking of moving objects with the use of GPS/GNSS or other techniques is relied upon in numerous applications, from health monitoring and physical activity support, to social investigations to detection of fraud in transportation. While monitoring
Paweł Białoń
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