Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation
and long-term storage has lead to an overreliance on cloud computing. The resulting …

In recent decade, the number of devices involved with the Internet of Things (IoT)
phenomena has increased dramatically. Parallel to this, fog computing paradigm has been …

Fog computing is a paradigm that extends the cloud to intermediate network devices with
computational and storage capacities. This allows the execution of applications closer to …

Fog computing is a technology that brings computing and storage resources near to the end
user. Being in its infancy, fog computing lacks standardization in terms of architectures and …

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

The fourth industrial revolution heralds a paradigm shift in how people, processes, things,
data and networks communicate and connect with each other. Conventional computing …

This study compares three evolutionary algorithms for the problem of fog service placement:
weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA …

This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …