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of 513
pro vyhledávání: '"Flink"'
Publikováno v:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki, Vol 18, Iss 31, Pp 7-40 (2024)
Artykuł przedstawia analizę porównawczą trzech silników do przetwarzania strumieniowego danych: Apache Flink, Apache Spark i Apache Storm. Obejmuje ona kryteria porównawcze, takie jak: architektura, interfejsy, tryby przetwarzania, tryby urucho
Externí odkaz:
https://doaj.org/article/be2f4f0ce7c3419a8f64d2591b494f76
Publikováno v:
Dance Magazine. Oct2024, Vol. 98 Issue 8, p16-16. 1/3p.
Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies
Publikováno v:
Technologies, Vol 12, Iss 11, p 217 (2024)
Systems for graph processing are a key enabler for insights from large-scale graphs that are critical to many new advanced technologies such as Artificial Intelligence, Internet of Things, and blockchain. In this study, we benchmark another two widel
Externí odkaz:
https://doaj.org/article/ba61a30d0c1c4c03acc180e4034ca021
Autor:
Ji, Hangxu a, b, Sun, Yongjiao c, ⁎, Su, Xinran c, Fu, Yuwei d, Yuan, Ye e, Wang, Guoren e, Wang, Qi a
Publikováno v:
In Information Sciences May 2025 699
Autor:
Wang Jiahui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In the context of big data, traditional detection algorithms can no longer meet today’s needs. For traditional sensors, there are shortcomings such as long working times, high complexity, and high false detection rates. This paper proposes a new ty
Externí odkaz:
https://doaj.org/article/612c54cb3376437ca3a92c9552bcd36e
Publikováno v:
Intelligent Systems with Applications, Vol 20, Iss , Pp 200267- (2023)
In this paper, we present a novel framework that considers the expiration period time of the Internet of Things (IoT) data stream to anonymize it. IoT stands among one of most fast-growing technology in the world. Also, anonymity is one of the safegu
Externí odkaz:
https://doaj.org/article/0b60476e43324853a9b95d66dac4da91
Autor:
Flink, Michael1, Trauner, Doris A.2
Publikováno v:
Clinical Pediatric Neurology. 2009, p117-127. 11p. 2 Charts.
Akademický článek
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Autor:
ATURE ANGBERA, HUAH YONG CHAN
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 8, Iss 3, Pp 256-270 (2022)
The ability to interpret spatiotemporal data streams in real-time is critical for a range of systems. However, processing vast amounts of spatiotemporal data out of several sources, such as online traffic, social platforms, sensor networks, and other
Externí odkaz:
https://doaj.org/article/694634e4991244908255b523a44abadf