Internet of Things has been growing, due to which the number of user requests on fog
computing layer has also increased. Fog works in a real-time environment and offers from …

With the rapid development of processing and storage technologies and the success of the
Internet, computing resources have become cheaper, more powerful and more ubiquitously …

Load scheduling across distributed fog computing nodes has been a major challenge to
meet the increased demand of real-time data analysis, and time-sensitive decision-making …

All task scheduling applications need to ensure that resources are optimally used,
performance is enhanced, and costs are minimized. The purpose of this paper is to discuss …

Load scheduling has been a major challenge in distributed fog computing environments for
meeting the demands of decision-making in real-time. This research proposes an …

IoT-Edge-Fog Computing presents a trio-logical model for decentralized computing in a time-
sensitive manner. However, to address the rising need for real-time information processing …

Abstract Internet of Things (IoT) contributes to improve the quality of life as it supports many
applications, especially healthcare systems. Data generated from IoT devices is sent to the …

Load balancing represents a key issue in any job scheduling application to guarantee
optimal utilization of underlying resources, enhance performance, and reduce the execution …

Cloud computing is a modern technology that provides all types of resources to the users
with the help of internet. Resource management is the key factor that decides the …

Cloud computing is a new technology that enables users to store and retrieve data via the
Internet on demand rather than using their hardware. Cloud computing comprises distinct …