Results 71 to 80 of about 48,436 (195)

E2Data experimental results: Health use case deployed over Apache Flink. Testbed architecture: x86, AArch64

, 2021
This dataset presents the results of the evaluation of the E2Data Health use case over Apache Flink, and over an x86 testbed and an AArch64 ...
Sotiris Diamantopoulos
core   +1 more source

Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies

Technologies
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.
Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis   +3 more
doaj   +1 more source

RL4CEP: reinforcement learning for updating CEP rules

Complex & Intelligent Systems
This paper presents RL4CEP, a reinforcement learning (RL) approach to dynamically update complex event processing (CEP) rules. RL4CEP uses Double Deep Q-Networks to update the threshold values used by CEP rules.
Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben   +4 more
doaj   +1 more source

Apache Flink: Distributed Stream Data Processing

, 2016
The amount of data is growing significantly over the past few years. Therefore, the need for distributed data processing frameworks is growing. Currently, there are two well-known data processing frameworks with an API for data batches and an API for ...
Surdy, Kacper, Jacobs, Kevin
core  

Real-time analysis of market data leveraging Apache Flink

, 2022
In this paper, we present a solution to the DEBS 2022 Grand Challenge (GC). According to the GC requirements, the proposed software continuously observes notifications about financial instruments being traded, aiming to timely detect breakout patterns ...
Valeria Cardellini, Cecilia Calavaro, Gabriele Russo Russo   +2 more
core   +1 more source

Έγκυρη υποστήριξη αυτόματης κλιμάκωσης του Apache Flink σε υποδομή Kubernetes στο υπολογιστικό νέφος

, 2022
Προπτυχιακή Διατριβή που υποβλήθηκε στη σχολή ΗΜΜΥ του Πολ. Κρήτης για την πλήρωση προϋποθέσεων λήψης του Προπτυχιακού Διπλώματος.Summarization: Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and ...
Zafeirakopoulos Alexandros-Nikolaos http://users.isc.tuc.gr/~azafeirakopoulos, Ζαφειρακοπουλος Αλεξανδρος-Νικολαος http://users.isc.tuc.gr/~azafeirakopoulos   +1 more
core   +1 more source

Adaptive Data Quality Monitoring: A Comprehensive Framework for Streaming Data Integrity

IEEE Access
Real-time streaming pipelines are increasingly central to data-driven product decisions, yet the data quality literature has focused predominantly on batch systems.
Tulika Bhatt, Saurabh Jaluka
doaj   +1 more source

A new era of financial services: How AI enhances investment efficiency

International Studies of Economics, Volume 19, Issue 4, Page 578-588, December 2024.
Zhiyi Liu, Kai Zhang, Hongyi Zhang
wiley   +1 more source

A Scalable Microservice Architecture for Autonomous IoT Systems in Smart Transportation: Integration of Edge Computing, Real-Time Processing, and Security

IEEE Access
The rapid proliferation of Internet of Things (IoT) devices in smart transportation systems has introduced unprecedented challenges in managing high-volume, high-velocity data streams. Maintaining real-time responsiveness and security in these systems is
Mohammed A. Alzahrani, Emad Y. Albassam
doaj   +1 more source

Technical Report: On the Usability of Hadoop MapReduce, Apache Spark & Apache Flink for Data Science

CoRR, 2018
Distributed data processing platforms for cloud computing are important tools for large-scale data analytics. Apache Hadoop MapReduce has become the de facto standard in this space, though its programming interface is relatively low-level, requiring many implementation steps even for simple analysis tasks.
Bilal Akil, Ying Zhou, Uwe Röhm
openaire   +3 more sources