Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …

IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …

Container orchestration handles the semi-automated management of applications across
Edge-Cloud, providing features such as autoscaling, high availability, and portability. Having …

In modern cloud computing, the need for flexible and scalable orchestration of services,
combined with robust security measures, is paramount. In this paper, we propose an …

Cloud-edge orchestration manages a large pool of heterogeneous resources to improve
latency and bandwidth for real-time use cases. It dynamically places computational …

The way we travel is changing rapidly, and Cooperative Intelligent Transportation Systems
(C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduces …

The traditional cloud‐centric approach in IoT applications lack the speed and efficiency
required for time‐critical tasks, resulting in network inefficiencies. To address this, the …

As cloud computing evolves, the state of the digital infrastructure and the growth of cloud
environments pose unprecedented challenges in protecting critical data and applications …

In the dynamic field of modern business, where cloud computing has become the primary
focus of operations, a pressing issue arises the persistent concerns of security, privacy, and …

In recent years, edge computing has refined data management and analytics by facilitating
real-time processing closer to data sources, significantly reducing latency and bandwidth …