Results 11 to 20 of about 2,981,558 (310)
Composing high-level stream processing pipelines
Journal of Big Data, 2020 The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex.
Tanmaya Mahapatra
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Transactional stream processing [PDF]
Proceedings of the 15th International Conference on Extending Database Technology, 2012 Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query execution over these data sources in the face of concurrent access and failures. Instead, today's Stream Processing Systems (SPSs) hard-code transactional concepts in their execution
Botan, Irina +3 more
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A survey on transactional stream processing
The VLDB Journal, 2023 AbstractTransactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted
Shuhao Zhang 0001 +2 more
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Acta Clinica Croatica, 2020 The generally accepted model of sensory processing of visual and auditory stimuli assumes two major parallel processing streams, ventral and dorsal, which comprise functionally and anatomically distinct but interacting processes in which the ventral ...
Sanja Josef Golubić
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Journal of Internet Services and Applications, 2020 In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a ...
Dianne S. V. Medeiros +7 more
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Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review
IEEE Access, 2020 Contribution: Recently, real-time data warehousing (DWH) and big data streaming have become ubiquitous due to the fact that a number of business organizations are gearing up to gain competitive advantage.
Erum Mehmood, Tayyaba Anees
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spChains: A Declarative Framework for Data Stream Processing in Pervasive Applications [PDF]
, 2012 Pervasive applications rely on increasingly complex streams of sensor data continuously captured from the physical world. Such data is crucial to enable applications to ``understand'' the current context and to infer the right actions to perform, be they
Bonino, Dario, Corno, Fulvio
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ACM Transactions on Computing Education, 2009 Programming is recognized as one of seven grand challenges in computing education. Decades of research have shown that the major problems novices experience are composition-based---they may know what the individual programming language constructs are, but they do not know how to put them together. Despite this fact, textbooks, educational practice, and
Caspersen, Michael Edelgaard +1 more
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Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform
Sensors, 2020 Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data ...
Robin Kraft +9 more
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Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations
IEEE Access, 2023 Malicious web links, social rumors, fraudulent advertisements, faked comments, and biased propaganda are overwhelmingly influencing online social networks. Enabling information integrity is a hot topic in both academia and industry.
Hailu Xu +5 more
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