The Cloud-Edge-IoT (CEI) continuum refers to integrating several IoT devices with edge servers and the cloud, creating a computing continuum where the IoT, edge, and cloud intersect. Due to its robust and potent properties, the Edge-cloud continuum has been the subject of extensive investigation in numerous domains, including smart agriculture, energy management, smart health, smart manufacturing, smart cities, and maritime applications. Implementing CEI systems in broadband wireless networks will present numerous technical challenges. It is crucial to address continuum difficulties to optimize these systems. Comprehensive simulators are necessary for researchers to accurately model, test, and evaluate various approaches and technologies in the edge cloud continuum. EdgeCloudSim is capable of simulating scenarios involving both cloud and edge computing. Intelligent transport systems are among the application cases of Industry 4.0 and CEI continuum. In-depth performance assessments and tests can be carried out on various edge computing scenarios with the help of EdgeCloudSim. This enables in-depth assessments of offloading mechanisms, resource allocation, and the repercussions of latency to be carried out effectively. The processing of massive amounts of data from the Internet of Things devices in real-time is a requirement for Industry 4.0, which is why this is of the utmost importance. Applications like predictive maintenance, automated quality control, smart transportation, and smart manufacturing, respectively, require this to function properly. Additionally, the capability of EdgeCloudSim to simulate various network topologies and edge configurations offers significant information that can be utilized for optimizing the deployment of infrastructure and enhancing the overall efficiency of the system. The adaptability and extensibility of the framework make it a perfect instrument for academics and practitioners who are looking to build and enhance novel solutions that are adapted to the requirements of ecosystems that are part of the Industry 4.0 movement. The simulation environment employs EdgeCloudSim to replicate the functionalities of computing, networking, and vehicle mobility.
Edge-cloud continuum driven industry 4.0
Ali N.;Aloi G.;De Rango F.;Savaglio C.;Gravina R.
2025-01-01
Abstract
The Cloud-Edge-IoT (CEI) continuum refers to integrating several IoT devices with edge servers and the cloud, creating a computing continuum where the IoT, edge, and cloud intersect. Due to its robust and potent properties, the Edge-cloud continuum has been the subject of extensive investigation in numerous domains, including smart agriculture, energy management, smart health, smart manufacturing, smart cities, and maritime applications. Implementing CEI systems in broadband wireless networks will present numerous technical challenges. It is crucial to address continuum difficulties to optimize these systems. Comprehensive simulators are necessary for researchers to accurately model, test, and evaluate various approaches and technologies in the edge cloud continuum. EdgeCloudSim is capable of simulating scenarios involving both cloud and edge computing. Intelligent transport systems are among the application cases of Industry 4.0 and CEI continuum. In-depth performance assessments and tests can be carried out on various edge computing scenarios with the help of EdgeCloudSim. This enables in-depth assessments of offloading mechanisms, resource allocation, and the repercussions of latency to be carried out effectively. The processing of massive amounts of data from the Internet of Things devices in real-time is a requirement for Industry 4.0, which is why this is of the utmost importance. Applications like predictive maintenance, automated quality control, smart transportation, and smart manufacturing, respectively, require this to function properly. Additionally, the capability of EdgeCloudSim to simulate various network topologies and edge configurations offers significant information that can be utilized for optimizing the deployment of infrastructure and enhancing the overall efficiency of the system. The adaptability and extensibility of the framework make it a perfect instrument for academics and practitioners who are looking to build and enhance novel solutions that are adapted to the requirements of ecosystems that are part of the Industry 4.0 movement. The simulation environment employs EdgeCloudSim to replicate the functionalities of computing, networking, and vehicle mobility.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
