The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …

Uneven distribution of workloads represents a significant challenge in cloud data centers,
negatively impacting the efficient utilization of resources. To address this problem and …

This study presents a complete campus multi-energy complementary energy system
(MCES), including an accurate forecasting model, efficient MCES model, and effective multi …

Fog Computing has emerged as a pivotal technology for enabling low-latency, context-
aware, and efficient computing at the edge of the network. Effective task scheduling plays a …

The paper addresses the challenges of task migration and resource allocation in
heterogeneous cloud–edge environments, where dynamic and stochastic conditions …

Fog computing has been touted as a solution for the massive growth in the need for
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …

Energy consumption and makespan of workflow execution are two core performance
indicators in operating cloud platforms. But, simultaneously optimizing these two indicators …

Applications for the internet of things (IoT) have grown significantly in popularity in recent
years, and this has caused a huge increase in the use of cloud services (CSs). In addition …

Abstract Salp Swarm Algorithm (SSA) is a bio-inspired optimization algorithm used in this
paper to optimize the multiprocessor scheduling process in the current cyber-physical …