Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to
look at the engineering problems as multi-objective optimization problems. This paper briefly …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Multi-dimensional inclusion of economic, environmental, and social sustainability spheres
together are the most global concerns of the agricultural crop sector. Therefore, optimizing …

This study proposes a fog gateway selection strategy based on a hybrid Multi-criteria
Decision-Making (MCDM) optimization model to avoid overwhelming the fog–cloud network …

In fog computing, inefficient scheduling of user tasks causes more delays. Moreover, how to
schedule tasks that need to be offloaded to fog nodes or cloud nodes has not been fully …

IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …