Results 81 to 90 of about 6,553 (193)
Multidimensional Scenario Calculations Using Cloud‐Based Co‐Simulation
Chemie Ingenieur Technik, Volume 96, Issue 9, Page 1281-1287, September 2024.Distributed mathematical modeling and simulation is a central element of system integration in the Carbon2Chem® joint project, allowing operating scenarios and system concepts to be analyzed and optimized efficiently in a parallel and distributed manner. The architecture of the underlying plattform is described in detail.
Thorsten Wack, Andreas Schröder
wiley +1 more source
Development of near real-time wireless image sequence streaming cloud using Apache Kafka for road traffic monitoring application. [PDF]
PLoS One, 2022 Htut AM, Aswakul C.
europepmc +1 more source
IEEE AccessThis paper presents a scalable big data infrastructure designed to support traffic optimization and accident prevention in automated and connected road environments.
Jorge Garcia-Gonzalez +3 more
doaj +1 more source
Streamlining Data Ingestion with Apache Kafka and Databricks
, 2023 In this research paper, we delve into the intricacies of streamlining data ingestion using Apache Kafka and Databricks. As organizations continue to generate massive amounts of data, the need for real-time data ingestion and processing has become paramount.
openaire +2 more sources
RL4CEP: reinforcement learning for updating CEP rules
Complex & Intelligent SystemsThis 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 +4 more
doaj +1 more source
Apache Kafka - Real-time Data Processing
Journal of Technical Science and Technologies, 2016 Apache Kafka is creating a lot of buzz these days. While LinkedIn, where Kafka was founded, is the most well known user, there are many companies that use this technology successfully. Kafka has several features that make it a good t for companies' requirements: scalability, data partitioning, low latency, and the ability to handle large number of ...
Nodar MOMTSELIDZE, Ana TSITSAGI
openaire +1 more source
ArrayThis paper presents the design and performance evaluation of a scalable microservice-based cloud computing framework for distributed stochastic fluid flow simulations.
Zhanars Abdiramanov
doaj +1 more source
Apache Spark and Apache Kafka at the Rescue of Distributed RDF Stream Processing Engines. [PDF]
, 2016 Due to the growing need to timely process and derive valuable information and knowledge from data produced in the Semantic Web, RDF stream processing (RSP) has emerged as an important research domain. In this paper, we describe the design of an RSP engine that is built upon state of the art Big Data frameworks, namely Apache Kafka and Apache Spark ...
Ren, Xiangnan +4 more
openaire +1 more source
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks
Big Data Mining and AnalyticsThe current large-scale Internet of Things (IoT) networks typically generate high-velocity network traffic streams. Attackers use IoT devices to create botnets and launch attacks, such as DDoS, Spamming, Cryptocurrency mining, Phishing, etc.
Selvam Saravanan +1 more
doaj +1 more source
The Giles Ecosystem – Storage, Text Extraction, and OCR of Documents
Journal of Open Research Software, 2017 In the digital humanities, there is a constant need to turn images and PDF files into plain text to apply analyses such as topic modelling, named entity recognition, and other techniques.
Julia Damerow +2 more
doaj +1 more source