Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …

This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel
metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling …

Virtual machine scheduling and resource allocation mechanism in the process of dynamic
virtual machine consolidation is a promising access to alleviate the cloud data centers of …

The purposes is to promote the intelligent fusion of Ant Colony Optimization Algorithm
(ACOA) and the cloud computing for resource allocation and task scheduling. First, the …

This study presents a novel multi-objective approach for NP-hard workflow scheduling in
cloud computing environments. Traditional rule-based heuristics offer flexibility but lack …

Scheduling emergency patients is a problem that most hospitals struggle to solve without
disturbing elective surgery patients' schedules. The present work undertakes this problem …

This paper presents a P ower and R esource U tilization-Aware V irtual M achine S
cheduling (PRUVMS) algorithm for strengthening resource utilization and diminishing the …