Results 1 to 10 of about 891,086 (138)
A stream processing abstraction framework [PDF]
Frontiers in Big Data, 2023 Real-time analysis of large multimedia streams is nowadays made efficient by the existence of several Big Data streaming platforms, like Apache Flink and Samza.
Ilaria Bartolini, Marco Patella
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A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring [PDF]
Sensors, 2020 In recent years, the application and wide adoption of Internet of Things (IoT)-based technologies have increased the proliferation of monitoring systems, which has consequently exponentially increased the amounts of heterogeneous data generated ...
Adeyinka Akanbi, Muthoni Masinde
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A Survey of Distributed Data Stream Processing Frameworks
IEEE Access, 2019 Big data processing systems are evolving to be more stream oriented where each data record is processed as it arrives by distributed and low-latency computational frameworks on a continuous basis.
Haruna Isah +5 more
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An efficient approach for low latency processing in stream data [PDF]
PeerJ Computer Science, 2021 Stream data is the data that is generated continuously from the different data sources and ideally defined as the data that has no discrete beginning or end.
Nirav Bhatt, Amit Thakkar
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Fibers, 2022 The best approaches to minimizing resource scarcity, removing valuable waste streams, and re-establishing a circular economic chain of recycled thermoplastics are to cascade them into product life cycles and their valorization combined with sustainable ...
Keresa Defa Ayana +4 more
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A Deep Learning Streaming Methodology for Trajectory Classification
ISPRS International Journal of Geo-Information, 2021 Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. The maritime domain is no different as all larger vessels are obliged to be equipped with a vessel tracking ...
Ioannis Kontopoulos +2 more
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VeilGraph: incremental graph stream processing
Journal of Big Data, 2022 Graphs are found in a plethora of domains, including online social networks, the World Wide Web and the study of epidemics, to name a few. With the advent of greater volumes of information and the need for continuously updated results under temporal ...
Miguel E. Coimbra +3 more
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Efficient Continuous Subgraph Matching Scheme Based on Trie Indexing for Graph Stream Processing
Applied Sciences, 2023 With the expansion of the application range of big data and artificial intelligence technologies, graph data have been increasingly used to analyze the relationships among objects.
Dojin Choi +6 more
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Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines
Sensors, 2022 A significant rise in the adoption of streaming applications has changed the decision-making processes in the last decade. This movement has led to the emergence of several Big Data technologies for in-memory processing, such as the systems Apache Storm,
Kassiano J. Matteussi +3 more
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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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