The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

Research background: The article explores the integration of Artificial Intelligence (AI) in
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …

Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …

Industry 4.0 is characterized by digitalized production facilities, where a large volume of
sensors collect a vast amount of data that is used to increase the sustainability of the …

Many failure root cause analysis (RCA) algorithms for microservices have been proposed
with the widespread adoption of microservices systems. Existing algorithms generally focus …

Context: Many IT organizations are looking towards DevOps to make their software
development and delivery processes faster and more reliable, while DevOps revolutionized …

In the dynamic field of software development, De-vOps has become a critical tool for
enhancing collaboration, streamlining processes, and accelerating delivery. However …

Container virtualization has recently gained popularity due to its low performance and
resource allocation overhead. The rise of this technology can be attributed to the …

The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …