The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …

The emergence of new technologies and the era of IoT which will be based on compute-
intensive applications. These applications will increase the traffic volume of today's network …

The IoT has connected a vast number of devices on a massive internet scale. With the rapid
increase in devices and data, offloading tasks from IoT devices to remote Cloud data centers …

Computation offloading enables intensive computational tasks to be separated into multiple
computing resources for overcoming hardware limitations. Leveraging cloud computing …

Recent years have witnessed the proliferation of mobile computing and the Internet of
Things (IoT), in which billions of mobile and IoT devices are connected to the Internet …

The Internet of Things (IoT) is evolving rapidly and requires IoT devices to have more
resources to meet the growing needs in diverse application domains. Despite increasing …

Existing edge computing solutions in the Internet of Things (IoT) domain operate with the
control plane residing in the cloud and edge as a slave that executes the workload deployed …

Abstract In Internet of Things (IoT) data processing, cloud computing alone does not suffice
due to latency constraints, bandwidth limitations, and privacy concerns. By introducing …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Offloading the dynamic tasks with fog computing is envisioned as a viable option for
prolonging resource-limited constraints and improving the computational and …