Resource provisioning in the cloud is the most popular business model for any service provider due to profit that is based on how resources are distributed among users in Industry 4.0. Moreover, much research carried out to provide a better resource provisioning system to service providers; however, efficient resource provisioning may save the environments too. This study presents an extensive analysis of different resource provisioning systems based on concert parameters. More than 250 relative research articles have been considered for this study, out of these 125 articles has been processed for comparative analysis on the basis of different performance metrics. This study highlights the classifications of resource management techniques, objective functions, and open research challenges and issues while analyzing resource management techniques. It also provides the depth knowledge of uses of performance metrics utilization based on its classifications.

中文翻译：

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工业 4.0 中云资源管理技术的广泛回顾：问题和挑战

由于基于工业 4.0 中资源在用户之间分配方式的利润，云中的资源供应是任何服务提供商最流行的商业模式。此外，还进行了大量研究以向服务提供商提供更好的资源供应系统；然而，高效的资源供应也可以拯救环境。本研究基于 Concert 参数对不同的资源供应系统进行了广泛的分析。本研究考虑了 250 多篇相关研究文章，其中 125 篇文章已根据不同的性能指标进行了比较分析。本研究在分析资源管理技术的同时，突出了资源管理技术的分类、目标函数以及开放的研究挑战和问题。