Recently much emphasize is given on integrating Edge, Fog and Cloud infrastructures to
support the execution of various latency sensitive and computing intensive Internet of Things …

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 …

Fog computing aims at offering Cloud like services at the network edge for supporting
Internet of Things (IoT) applications with low latency response requirements. Hierarchical …

Fog computing extends Cloud-based facilities and stays in the vicinity of the end-users to
provide an attractive solution to a diverse range of latency-sensitive applications. The …

The fog computing paradigm has drawn significant research interest as it focuses on
bringing cloud-based services closer to Internet of Things (IoT) users in an efficient and …

The marketplace for Internet of Things (IoT)-enabled smart systems is rapidly expanding.
The integration of Fog and Cloud paradigm aims at harnessing both edge device and …

Data-intensive applications are growing at an increasing rate and there is a growing need to
solve scalability and high-performance issues in them. By the advent of Cloud computing …

Edge and Fog computing paradigms overcome the limitations of cloud-centric execution for
different latency-sensitive Internet of Things (IoT) applications by offering computing …

The ever-expanding processing of large-scale scientific workflow applications has increased
power consumption and reliability costs. However, considering the complexity of …

Fog computing overcomes the limitations of executing Internet of Things (IoT) applications in
remote Cloud datacentres by extending the computation facilities closer to data sources …