Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …

Fog computing can support IoT services with fast response time and low bandwidth usage
by moving computation from the cloud to edge devices. However, existing fog computing …

Fog computing, the distribution of computing resources closer to the end devices along the
cloud-to-things continuum, is recently emerging as an architecture for scaling of the Internet …

Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

With the rise of the Internet of Things (IoT), fog computing has emerged to help traditional
cloud computing in meeting scalability demands. Fog computing makes it possible to fulfill …

Fog computing, also known as Edge computing, is an emerging computational paradigm,
increasingly utilized in Internet of Things (IoT) applications, particularly those that cannot be …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …

Fog computing is an extension of cloud computing right to the edge of the network, and
seeks to minimize service latency and average response time in applications, thereby …

Cloud and Fog computing have established a convenient and widely adopted approach for
computation offloading, where raw data generated by edge devices in the Internet of Things …