Results 21 to 30 of about 2,981,558 (310)
Unification of publish/subscribe systems and stream databases: the impact on complex event processing [PDF]
, 2012 There is increasing demand for complex event processing of ever-expanding volumes of data in an ever-growing number of application domains. Traditional complex event processing technologies, based upon either stream database management systems or publish/
Joseph Sventek +5 more
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Walk Through Event Stream Processing Architecture, Use Cases and Frameworks Survey
, 2022 Nowadays events stream processing is one of the top demanding field(s) because of the business urgent need for ongoing real time analytics & decisions.
Mohamed Bennawy +3 more
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Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management [PDF]
, 2013 22.05.13 kb. Ok to add the author version to Spiral.As users of big data applications expect fresh results, we witness a new breed of stream processing systems (SPS) that are designed to scale to large numbers of cloud-hosted machines.
Kalyvianaki, Evangelia +15 more
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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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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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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
doaj +1 more source
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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Lower bounds for multi-pass processing of multiple data streams [PDF]
, 2009 This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-called mp2s-automata.
Schweikardt, Nicole
core +1 more source
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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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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