TL;DR
Experimental results show that the proposed Hybrid method outperforms GA and GWO, achieving the lowest mean fitness, and ablation, convergence, sensitivity, Pareto, ranking, energy, and scalability analyses further verify its robustness.
Cloud task scheduling involves heterogeneous virtual machines, differentiated service requirements, workflow precedence constraints, and competing time, energy, cost, and utilization objectives. We propose an integrated three-model framework. QTSF clusters independent tasks using normalized service and resource attribu...
A hybrid heuristic-meta-heuristic algorithm is developed that effectively integrates VM migration with GA and PSO, achieving a balanced exploitation–exploration strategy for optimal VM allocation and shows the higher efficiency of the proposed method compared to other traditional methods.
INTRODUCTION: Edge-cloud schedulers must coordinate latency, energy, load balance, and deadline compliance under changing demand while keeping task-arrival and throughput units physically consistent.OBJECTIVE: This study evaluates MORL-ECSO under an auditable, paired-seed simulation protocol and compares it with tuned...
A random forest enhanced particle swarm optimization algorithm (RFPSO) is proposed, which implements intelligent initialization of resource allocation through a random forest model, which improves the efficiency of finding optimal solutions and ensures that critical tasks can prioritize access to higher-performance com...
To address the requirement of latency‐sensitive intelligent transportation applications, vehicular fog computing has proven to be a promising paradigm to push the computation towards the vehicles. However, efficient task offloading and scheduling is a challenging optimization problem because of the highly dynamic natur...
An SLA-aware Dynamic Enhanced Resource-Aware Load Balancing Algorithm (SLADE- RALBA) that minimizes load imbalance by considering the computational capacities of virtual machines and ensures Service Level Agreement (SLA) compliance through a three-tier priority-based workflow is proposed.
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