Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Apache 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
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
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
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
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 2, Pp 337-347 (2022)
The large-scale dimension table connection technology in the distributed environment is one of the key technologies in online big data analysis, which is widely used in real-time recommendation, real-time analysis and other fields. The dimension tabl
Externí odkaz:
https://doaj.org/article/14c3af538e37469e9ec98603edf6b24f
Akademický článek
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Publikováno v:
Acta Universitatis Sapientiae: Informatica, Vol 13, Iss 1, Pp 39-59 (2021)
Data stream processing has been gaining attention in the past decade. Apache Flink is an open-source distributed stream processing engine that is able to process a large amount of data in real time with low latency. Computations are distributed among
Externí odkaz:
https://doaj.org/article/577f26258a7442b29e9437e049d500e7
Autor:
Giselle van Dongen, Dirk Van Den Poel
Publikováno v:
IEEE Access, Vol 9, Pp 93745-93763 (2021)
Distributed stream processing frameworks have gained widespread adoption in the last decade because they abstract away the complexity of parallel processing. One of their key features is built-in fault tolerance. In this work, we dive deeper into the
Externí odkaz:
https://doaj.org/article/7b7c1c80d3a745dfbd3562bb04c446a6