Results 21 to 30 of about 64,506 (191)
Improvement of Kafka Streaming Using Partition and Multi-Threading in Big Data Environment
Sensors, 2019 The large amount of programmable logic controller (PLC) sensing data has rapidly increased in the manufacturing environment. Therefore, a large data store is necessary for Big Data platforms.
Bunrong Leang +3 more
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Functional and performance analysis of selected message brokers in a distributed application
Journal of Computer Sciences Institute, 2020 Article presents results of performance analysis of selected message brokers: Apache ActiveMQ, RabbitMQ and Apache Kafka. To analyze has been subjected time of messaging determined based by time of sending and receiving message. Tests were carried out by
Tobiasz Kaciuczyk +2 more
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Big Data Analytics: Analysis of Features and Performance of Big Data Ingestion Tools [PDF]
Informatică economică, 2018 The purpose of this study was to analyze the features and performance of some of the most widely used big data ingestion tools. The analysis is made for three data ingestion tools, developed by Apache: Flume, Kafka and NiFi.
Andreea MATACUTA, Catalina POPA
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Deploy the Apach Kafka data analysis platform
, 2022 Кваліфікаційна робота присвячена розгортанню та практичному використанню сервісу потокової обробки повідомлень Apache Kafka. В першому розділі кваліфікаційної роботи виконано огляд основних принципів потокового оброблення повідомлень та його прикладному
Кучер, Ірина Михайлівна +1 more
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A New Big Data Processing Framework for the Online Roadshow
Big Data and Cognitive Computing, 2023 The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet.
Kang-Ren Leow +2 more
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A NOVEL TRUE REAL-TIME SPATIOTEMPORAL DATA STREAM PROCESSING FRAMEWORK
Jordanian Journal of Computers and Information Technology, 2022 The ability to interpret spatiotemporal data streams in real-time is critical for a range of systems. However, processing vast amounts of spatiotemporal data out of several sources, such as online traffic, social platforms, sensor networks, and other ...
ATURE ANGBERA, HUAH YONG CHAN
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IEEE AccessDistributed Denial of Service (DDoS) attacks in the constantly expanding sphere of cybersecurity are highly important to detect and respond to promptly. This paper proposes an Intrusion Detection System (IDS) that integrate Machine Learning (ML), Apache ...
Jameel Ahmad +6 more
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A Novel Approach to Distributed Model Aggregation using Apache Kafka
Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, 2022 Multi-Access Edge Computing (MEC) is attracting a lot of interest because it complements cloud-based approaches. Indeed, MEC is opening up in the direction of reducing both interaction delays and data sharing, called Cyber-Physical Systems (CPSs). In the near fu-ture, edge technologies will be a fundamental tool to better support time-dependent and ...
Bano S. +5 more
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Building Resilient Microservices with Apache Kafka
International Journal For Multidisciplinary Research, 2022 In the modern digital ecosystem, each distributed system is supposed to be resilient and scalable; rather, for the systems operating in high volumes of data ingress and egress, and expecting high availability, it becomes a mandate. "Building Resilient Microservices with Apache Kafka" looks at how to construct robust microservices that can gracefully ...
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Efficiency comparison of message brokers
Journal of Computer Sciences InstituteThe aim of the article is to compare three main brokers used in the development of web applications: RabbitMQ, Apache Kafka and Apache Pulsar. To conduct the research, a custom application was created to compare two key metrics in the context of message
Sebastian Dyjach +1 more
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