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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
WLCG Security Operations Centres Working Group [PDF]
, 2017 Security monitoring is an area of considerable interest for sites in the Worldwide LHC Computing Grid (WLCG), particularly as we move as a community towards the use of a growing range of computing models and facilities.
Crooks, David, Vâlsan, Liviu
core +1 more source
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
doaj +1 more source
Multi-tenant Pub/Sub processing for real-time data streams [PDF]
, 2018 Devices and sensors generate streams of data across a diversity of locations and protocols. That data usually reaches a central platform that is used to store and process the streams.
Carrera Pérez, David +1 more
core +1 more source
Medical data processing and analysis for remote health and activities monitoring [PDF]
, 2019 Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems
Hosseinpour F. +14 more
core +1 more source
Single-Board-Computer Clusters for Cloudlet Computing in Internet of Things [PDF]
, 2019 The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT) workloads ...
Fernández Cerero, Damián +4 more
core +1 more source
Developing a monitoring system for Cloud-based distributed data-centers [PDF]
EPJ Web of Conferences, 2019 Nowadays more and more datacenters cooperate each others to achieve a common and more complex goal. New advanced functionalities are required to support experts during recovery and managing activities, like anomaly detection and fault pattern recognition.
Elia Domenico +3 more
doaj +1 more source