Efficient VM management is very crucial for energy saving, increasing profit, and preventing SLA violations. VM placement schemes can be classified into reactive and proactive/predictive schemes which try to improve the VM placement results, by forecasting future workloads or resource demands using various prediction techniques. This paper puts forward an extensive survey of the proactive VM placement approaches and categorizes them according to their applied forecasting methods. It describes how each scheme has applied the prediction algorithms to conduct more effective and low overhead VM placement. Moreover, in each category, factors such as evaluation parameters, simulation software, workload data, power management method, and prediction factors are compared to illuminate more details about the investigated VM placement approaches. At last, the concluding issues and open future studies trends and area are highlighted.

高效的虚拟机管理对于节省能源，增加利润和防止违反SLA至关重要。VM布置方案可以分为反应性方案和主动/预测方案，它们通过使用各种预测技术预测未来的工作量或资源需求来尝试改善VM布置结果。本文对主动式VM部署方法进行了广泛的调查，并根据其应用的预测方法对其进行了分类。它描述了每种方案如何应用预测算法来进行更有效和低开销的VM放置。此外，在每个类别中，将诸如评估参数，仿真软件，工作负载数据，电源管理方法和预测因素之类的因素进行比较，以阐明有关所研究的VM放置方法的更多详细信息。最后，