The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so on is increasing by means of cloud computing, which provides on-demand storage and computation facilities over the Internet. To meet specific requirements of IoT applications, the cloud has also shifted its service offering platform to its next-generation models, such as fog, mist, and dew computing. As a result, the cloud and IoT have become part and parcel of smart applications that play significant roles in improving the quality of human life. In addition to the inherent advantages of advanced cloud models, to improve the performance of IoT applications further, it is essential to understand how the resources in the cloud and cloud-influenced platforms are managed to support various phases in the end-to-end IoT deployment. Considering this importance, in this article, we provide a brief description, a systematic review, and possible research directions on every aspect of resource management tasks, such as workload modeling, resource provisioning, workload scheduling, resource allocation, load balancing, energy management, and resource heterogeneity in such advanced platforms, from a cloud perspective. The primary objective of this article is to help early researchers gain insight into the underlying concepts of resource management tasks in the cloud for IoT applications.

通过云计算在医疗保健、智慧城市、工业 4.0 等领域采用物联网 (IoT) 的趋势正在增加，云计算通过 Internet 提供按需存储和计算设施。为了满足物联网应用的特定需求，云也将其服务提供平台转移到其下一代模型，如雾、雾和露水计算。因此，云和物联网已成为智能应用的重要组成部分，在改善人类生活质量方面发挥着重要作用。除了高级云模型的固有优势之外，要进一步提高物联网应用程序的性能，必须了解如何管理云中的资源和受云影响的平台以支持端到端物联网的各个阶段部署。考虑到这一重要性，在本文中，我们对资源管理任务的各个方面进行了简要描述、系统回顾和可能的研究方向，例如工作负载建模、资源供应、工作负载调度、资源分配、负载平衡、能源管理、从云的角度来看，这些先进平台中的资源异构性。本文的主要目的是帮助早期研究人员深入了解 IoT 应用程序云中资源管理任务的基本概念。从云的角度来看，这些先进平台中的资源异构性。本文的主要目的是帮助早期研究人员深入了解 IoT 应用程序云中资源管理任务的基本概念。从云的角度来看，这些先进平台中的资源异构性。本文的主要目的是帮助早期研究人员深入了解 IoT 应用程序云中资源管理任务的基本概念。