Results 81 to 90 of about 48,436 (195)
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs
IEEE Access, 2019 Today's stream processing systems handle high-volume data streams in an efficient manner. To achieve this goal, they are designed to scale out on large clusters of commodity machines.
Tiziano De Matteis +4 more
doaj +1 more source
Realtime-Erkennung von Hate-Speech auf Twitter: Eine Evaluation von Apache Flink und Spark [PDF]
, 2019 Apache Flink und Apache Spark bieten beide eine Schnittstelle für Streaming Anwendungen sowie Bibliotheken des maschinellen Lernens an. Im Rahmen dieser Thesis soll verglichen werden, welches Framework sich besser für den Gebrauch als Realtime Hate ...
Masurat, Finn
core
Επαυξητική συνάθροιση παραθύρων στο Apache Flink
, 2020 Summarization: Nowadays, stream data are produced at a constant and rapid pace, more and more applications attempt to use the streams in order to receive crucial decisions.
Ντελμπιζης Αστεριος http://users.isc.tuc.gr/~antelmpizis +1 more
core +1 more source
Μεταφορά κατάστασης μεταξύ εργασιών στο Apache Flink
, 2020 Διπλωματική ΕργασίαSummarization: On a daily basis more and more data is produced and needs to be processed to extract useful information. Specifically, processing data streams is vital and requires high-performance resources to query them in real time ...
Baikousis Ioannis http://users.isc.tuc.gr/~ibaikousis +1 more
core +1 more source
A tool for improving the delivery of integrated intensive health care performance
International Journal of Integrated Care, 2019 Introduction: In intensive and intermediate care units, patient data consists of lower frequency asynchronous clinical data and higher frequency synchronous physiological data streams generated by medical equipment.
Javier Balladini +6 more
doaj +1 more source
Big Data Systeme: Konzeptioneller und experimenteller Vergleich von Apache Flink mit Apache Spark anhand eines Anwendungsszenarios [PDF]
, 2017 Big Data Systeme stellen mittlerweile einen der relevantesten Bereiche der Datenverarbeitung dar. Eines der momentan populärsten Systeme in diesem Bereich ist Apache Spark. Ein weiteres System mit zunehmende Popularität ist Apache Flink.
Lange, Timo
core
Análise de dinâmica molecular com apache flink
, 2018 During its execution, Molecular Dynamic (MD) simulations output molecular trajectories that are analyzed by scientists to allow them to acquire a better understanding of the evolution of the system.
Zanúz, Henrique Colao
core +1 more source
Adaptive sampling-driven workload balancing for distributed data stream processing
ETRI JournalPartitioning scheme in distributed stream processing systems is a critical factor in processing large-scale real-time data streams. Existing solutions either suffer from poor partition quality or high overhead in partitioning time, resulting in severe ...
Jiawei Tan +6 more
doaj +1 more source
Prink: $$k_s$$-Anonymization for Streaming Data in Apache Flink
In this paper, we present Prink, a novel and practically applicable concept and fully implemented prototype for ks-anonymizing data streams in real-world application architectures. Building upon the pre-existing, yet rudimentary CASTLE scheme, Prink for the first time introduces semantics-aware ks-anonymization of non-numerical (such as categorical or ...
Philip Groneberg +6 more
openaire +4 more sources
Discover Internet of ThingsThe distributed operation and maintenance control system generates a huge amount of data, and traditional data processing techniques are difficult to efficiently process and store this massive amount of data, resulting in high latency and slow response ...
Jianwei Ma +4 more
doaj +1 more source