Apache Flink™: Stream and Batch Processing in a Single Engine.
IEEE Data Eng. Bull., 2015 No ISSNQC ...
Carbone, Paris +5 more
openaire +2 more sources
A Digital Twin Case Study on Automotive Production Line. [PDF]
Sensors (Basel), 2022 Mendi AF.
europepmc +1 more source
StreamShield: A Production-Proven Resiliency Solution for Apache Flink at ByteDance
CoRRDistributed Stream Processing Systems (DSPSs) form the backbone of real-time processing and analytics at ByteDance, where Apache Flink powers one of the largest production clusters worldwide. Ensuring resiliency, the ability to withstand and rapidly recover from failures, together with operational stability, which provides consistent and predictable ...
Yong Fang +5 more
openaire +3 more sources
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment. [PDF]
PLoS Comput Biol, 2023 Chicco D +2 more
europepmc +1 more source
Evaluating the integration of Esper complex event processing engine and message brokers. [PDF]
PeerJ Comput Sci, 2023 Ortiz G +3 more
europepmc +1 more source
A new Apache Spark-based framework for big data streaming forecasting in IoT networks. [PDF]
J Supercomput, 2023 Fernández-Gómez AM +3 more
europepmc +1 more source
Avaliação de Desempenho das Plataformas Apache Hadoop, Apache Spark e Apache Flink Usando o Benchmark Hibench-master 7 [PDF]
, 2019 Tendo em conta o forte crescimento dos dados que se observa atualmente, o conceito de big data vem ganhando popularidade, dando origem às ferramentas capazes de processar, analisar e armazenar estes grandes volumes de dados.
Bongo, Isabel Soqui
core
SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. [PDF]
Proc Int Conf Data Eng, 2021 Baig F, Teng D, Kong J, Wang F.
europepmc +1 more source
A comparison of developed scheduling in apache flink framework
, 2021 Big data applications have matured to be one of the fundamental components in the information technology sector nowadays, a chance for executives has been furnished to accomplish perfect results, for business and economics. Nevertheless, the occurrence of data grouping dispatch differs in administration, storage, and handling, in all common database ...
openaire +1 more source
Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink
Distributed stream processing systems (DSPSs) such as Apache Flink have become omnipresent for real-time data processing in e-commerce, finance, telecommunications, etc.
Liu Liu +3 more
core +1 more source