A survey on evaluating the quality of autonomic internet of things applications
The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …
Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
A stream processing architecture for heterogeneous data sources in the Internet of Things
The number of Internet of Things (IoT) and smart devices capable of producing, consuming
and exchanging information is constantly increasing. It is estimated there will be around 30 …
and exchanging information is constantly increasing. It is estimated there will be around 30 …
A survey on vertical and horizontal scaling platforms for big data analytics
AH Ali - International Journal of Integrated Engineering, 2019 - publisher.uthm.edu.my
There is no doubt that we are entering the era of big data. The challenge is on how to store,
search, and analyze the huge amount of data that is being generated per second. One of the …
search, and analyze the huge amount of data that is being generated per second. One of the …
Data is the new oil–sort of: a view on why this comparison is misleading and its implications for modern data administration
C Stach - Future Internet, 2023 - mdpi.com
Currently, data are often referred to as the oil of the 21st century. This comparison is not only
used to express that the resource data are just as important for the fourth industrial …
used to express that the resource data are just as important for the fourth industrial …
[HTML][HTML] MEdit4CEP-SP: A model-driven solution to improve decision-making through user-friendly management and real-time processing of heterogeneous data …
Organisations today are constantly consuming and processing huge amounts of data. Such
datasets are often heterogeneous, making it difficult to work with them quickly and easily due …
datasets are often heterogeneous, making it difficult to work with them quickly and easily due …
[PDF][PDF] Design and Optimization of a Zookeeper and Kafka-Based Messaging Broker for Asynchronous Processing in High Availability and Low Latency Applications
In modern distributed systems, achieving high availability and low latency is crucial for
ensuring optimal performance and responsiveness. This paper aims to explore and …
ensuring optimal performance and responsiveness. This paper aims to explore and …
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes
Recent trends in intelligent manufacturing are transforming shop floor environments into
digital factories, thanks to a pervasive integration of information and communication …
digital factories, thanks to a pervasive integration of information and communication …
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes
In recent years, the number of industry-4.0-enabled manufacturing sites has been
continuously growing, and both the quantity and variety of signals and data collected in …
continuously growing, and both the quantity and variety of signals and data collected in …
Improvement of Kafka streaming using partition and multi-threading in big data environment
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 …
increased in the manufacturing environment. Therefore, a large data store is necessary for …