Results 161 to 170 of about 51,010 (204)

Flinkes Multitalent

Logistik für Unternehmen, 2022
Clark hat im Bereich der Hubwagen die Produktpalette um ein weiteres Fahrzeug erweitert. Bei dem neuen WS10Mi handelt es sich um einen Hochhubwagen mit Monomast und Initialhub.
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Indexing media storms on Flink

2015 IEEE International Conference on Big Data (Big Data), 2015
We propose a media storm indexing algorithm using Map-Reduce in our recently proposed CDVC framework. In this study, CDVC is built on Flink, an open-source platform for stream data processing. The question we answer is how to store massive image collections; for instance, with over one million images per second, as well as with varying incoming rate ...
Dimitrios Rafailidis, Stefanos Antaris
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S-Flink: Schedule for QoS in Flink Using SDN

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016
SDN provides support for QoS through mechanisms such as queuing, meters, flow control, bandwidth reservation and TE. MPTCP aware SDN also provides improved throughput. SDN is now being widely adopted in cloud data centers and so does some of the SPS. Many SPS applications have QoS constraints like bandwidth and throughput.
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Flink verkleinert Liefergebiet

Lebensmittel Zeitung, 2023
Die Rewe-Beteiligung Flink dreht an mehreren Schräubchen gleichzeitig, um der schwarzen Null unter dem Strich näher zu kommen. Dazu gehört auch der Abschied aus drei deutschen Städten.
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Flink-ML: machine learning in Apache Flink

Brazilian Journal of Technology
The emergence of Big Data has spurred the development of various frameworks designed for efficient data storage and processing. Key frameworks include Hadoop, Spark, Flink, Storm, Pig, and Zookeeper. Among these, Apache Flink stands out as a prominent open-source platform known for its powerful stream and batch processing capabilities.
Messaoud Mezati, Ines Aouria
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Adaptive Distributed Partitioning in Apache Flink

2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 2020
Dynamically adapting the workload of each worker in Flink is a challenging issue. In this work, we deal with a special case, where the data are conceptually split in contiguous overlapping regions. This scenario is encountered in several streaming applications, such as those employing nearest neighbor queries.
Theodoros Toliopoulos, Anastasios Gounaris   +1 more
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Mosaics: Stratosphere, Flink and Beyond

2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017
The global database research community has greatly impacted the functionality and performance of data storage and processing systems along the dimensions that define “big data”, i.e., volume, velocity, variety, and veracity. Locally, over the past five years, we have also been working on varying fronts.
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Apache Flink: Stream Analytics at Scale

2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), 2016
Apache Flink is an open source system for expressive, declarative, fast, and efficient data analysis on both historical (batch) and real-time (streaming) data. Flink combines the scalability and programming flexibility of distributed MapReduce-like platforms with the efficiency, out-of-core execution, and query optimization capabilities found in ...
Asterios Katsifodimos, Sebastian Schelter   +1 more
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Flink meldet in Österreich Insolvenz an

Lebensmittel Zeitung, 2022
Dem Lieferdienst Flink ist in Österreich das Geld ausgegangen. Die Muttergesellschaft, an der Rewe Anteile hält, benötigt die finanziellen Mittel im Heimatmarkt.
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Uitgaven Stijgen Flink

Zorgvisie, 2023
Laura van Elst, Wilbert Zuil
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