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 …

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 …

The idea of the IOT started way back in 1982 when a bending machine is connected to the
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …

In the edge computing environment, due to factors such as expensive devices, complex
scenarios, and fine control requirements, it is necessary to use simulators to construct …

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

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 …

Containerization is increasingly recognized as a valuable virtualization strategy for edge
computing infrastructures, favored for its small footprint and low overhead. However …