Avalilação PREreview de Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D

The study shows that a hybrid BOHGOA + ACO approach can place virtual machines more efficiently than GA, ACO, or FFD by reducing both bandwidth consumption and physical machine energy use. Its main contribution is demonstrating that cloud VM placement can be optimized as a multi-objective problem, producing Pareto-optimal trade-offs instead of improving one metric at the expense of the other.

This moves the field forward by giving cloud operators a more practical way to design energy-aware and network-aware placement strategies, which is especially important for large-scale IaaS environments.

Major issues

• The results were obtained in CloudSim, so the gains are strong evidence for the model but not yet proof that the same improvement will hold in a live cloud environment with real workload variability, failures, and operational constraints.

• The reported comparisons focus on a specific set of algorithms and workload sizes, which means the paper may not fully show how BOHGOA behaves across broader traffic patterns, datacenter architectures, or newer placement methods.

• While the study shows Pareto-optimal solutions, cloud operators still need a clear policy for choosing among them in practice, because the “best” point depends on business priorities such as latency, cost, carbon, or SLA risk.

Minor issues

• The paper would read more smoothly if it briefly outlined the problem, method, experiment, and findings at the start of each major section.

• A simpler step-by-step description of how BOHGOA and ACO interact would make the approach easier to follow for readers who are not already familiar with metaheuristics.

• The findings would be easier to scan if the tables and text used the same order of metrics, baselines, and scenario sizes throughout.

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they used generative AI to come up with new ideas for their review.