This paper provides a complete guide to the development, testing, and monitoring of a low-
cost big data cluster through a detailed step-by-step configuration and installation of Apache …

Modern systems and applications generate and consume an enormous amount of data from
different sources, including mobile edge computing and IoT systems. Our ability to locate …

In a big data stream computing environment, the arrival rate of data streams usually
fluctuates over time, posing a great challenge to the elasticity of system. The performance of …

Abnormality detection of power generation equipment is of great significance in enhancing
equipment reliability. In the era of Industry 4.0, with the rapid development and extensive …

Monitoring runtime engine statistics to identifying and manage bottlenecks and resource
availability is a current and heavily debated topic in academics as well as in the industry …

With the Internet of Things (IoT) growth and customer expectations, the importance of data
streaming and streaming processing has increased. Data Streaming refers to the concept …

The growing gap between users and the Big Data analytics requires innovative tools that
address the challenges faced by big data such as volume, variety, and velocity. Therefore, it …

Grafana is a powerful and widely adopted open-source tool designed for real-time
monitoring and visualization purposes. Its extensive features and functionalities empower …

One of the core elements for the upcoming generation of wireless cellular networks is the
availability of network service access continuity in addition to high-speed internet and low …

The edge or edge computing refers to the computational infrastructure between sensors and
Internet-of-Things world on the one side and centralised cloud data centres on the other …