Cloud computing has brought the accessibility of several software platforms under a single
roof. It has transformed resources into scalable services on demand and provides the only …

Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …

The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

Fog computing is an emerging computing paradigm which expands cloud-based computing
services near the network edge. With this new computing paradigm, new challenges arise in …

Due to technology development in the recent past, it is observed that an exponential growth
in the usage of high speed intelligent devices which includes smart objects, smart home …

Due to increased use of IoT devices and data sensors a huge amount of data is being
produced for processing in real‐time. Fog computing has evolved as a solution for fast …

Fault Tolerance (FT) is one of the cloud's very critical problems for providing security
assistance. Due to the diverse service architecture, detailed architectures & multiple …

Fog computing is a distributed paradigm that provides computational resources in the users'
vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure …