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pro vyhledávání: '"Pfister, Benjamin J. J."'
Distributed Stream Processing (DSP) systems are capable of processing large streams of unbounded data, offering high throughput and low latencies. To maintain a stable Quality of Service (QoS), these systems require a sufficient allocation of resourc
Externí odkaz:
http://arxiv.org/abs/2403.02093
Autor:
Geldenhuys, Morgan K., Pfister, Benjamin J. J., Scheinert, Dominik, Thamsen, Lauritz, Kao, Odej
Distributed Stream Processing systems are becoming an increasingly essential part of Big Data processing platforms as users grow ever more reliant on their ability to provide fast access to new results. As such, making timely decisions based on these
Externí odkaz:
http://arxiv.org/abs/2109.02340
Autor:
Geldenhuys, Morgan K., Will, Jonathan, Pfister, Benjamin J. J., Haug, Martin, Scharmann, Alexander, Thamsen, Lauritz
The Internet of Things describes a network of physical devices interacting and producing vast streams of sensor data. At present there are a number of general challenges which exist while developing solutions for use cases involving the monitoring an
Externí odkaz:
http://arxiv.org/abs/2108.10721
Autor:
Geldenhuys, Morgan K., Pfister, Benjamin J. J., Scheinert, Dominik, Thamsen, Lauritz, Kao, Odej
Publikováno v:
Annals of Computer Science and Information Systems.
Distributed Stream Processing systems are becoming an increasingly essential part of Big Data processing platforms as users grow ever more reliant on their ability to provide fast access to new results. As such, making timely decisions based on these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5717a1befa90d2965477f72d61c8d46
https://doi.org/10.15439/2022f225
https://doi.org/10.15439/2022f225
