The emergence of the Internet of Things (IoT) introduced new classes of applications whose
latency and bandwidth requirements could not be satisfied by the traditional Cloud …

The idea of the IoT began back in 1982 when a vending machine was connected to the
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …

To meet next-generation Internet of Things (IoT) application demands, edge computing
moves processing power and storage closer to the network edge to minimize latency and …

Quantum computing resources are predominantly accessible through cloud services, with a
potential future shift to edge networks. This paradigm and the increasing global interest in …

Microservice architecture offers a decentralized structure using componentization of large
applications. This approach can be coupled with Edge computing principles: applications …

Abstract The Internet of Things (IoT) has grown exponentially since its inception, combining
many components and systems to enable seamless connectivity and automation. However …

Computer simulation platforms offer an alternative solution by emulating complex systems in
a controlled manner. However, existing Edge Computing (EC) simulators, as well as general …

The rise of user-centric design demands ubiquitous access to infrastructure and
applications, facilitated by the Edge-Cloud network and microservices. However, efficiently …

Cloud computing is a significant and sophisticated paradigm in the field of modern computer
technology and services. In cloud computing, efficient resource management becomes …

Cloud computing environment simulators enable cost‐effective experimentation of novel
infrastructure designs and management approaches by avoiding significant costs incurred …