In recent years, applying Internet of Things (IoT) applications has significantly increased to facilitate and improve quality of human life activities in various fields such as healthcare, education, industry, economics, etc. The energy aware cloud-edge computing paradigm has developed as a hybrid computing solution to provide IoT applications using available cloud service providers and fog nodes for the smart devices and mobile applications. Since the IoT applications are developed in the form of several IoT services with various quality of service (QoS) metrics which can deploy on the cloud-edge providers with different resource capabilities, finding an efficient placement solution as one of challenging topics to be measured for IoT applications. The service placement issue arranges IoT applications on the cloud-edge providers with various capabilities of atomic services though sufficient different QoS factors to support service level agreement (SLA) contracts. This paper presents a technical analysis on the cloud-edge service placement approaches in IoT systems. The key point of this technical analysis is to identify substantial studies in the service placement approaches which need additional consideration to progress more efficient and effective placement strategies in IoT environments. In addition, a side-by-side taxonomy is proposed to categorize the relevant studies on cloud-edge service placement approaches and algorithms. A statistical and technical analysis of reviewed existing approaches is provided, and evaluation factors and attributes are discussed. Finally, open issues and forthcoming challenges of service placement approaches are presented.

中文翻译：

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物联网通信中的能量感知云边缘服务放置方法

近年来，物联网（IoT）应用在医疗、教育、工业、经济等各个领域促进和提高人类生活活动质量的应用显着增加。一种混合计算解决方案，使用可用的云服务提供商和雾节点为智能设备和移动应用程序提供物联网应用程序。由于物联网应用程序是以多种物联网服务的形式开发的，具有不同的服务质量 (QoS) 指标，可以部署在具有不同资源能力的云边缘提供商上，因此寻找有效的放置解决方案作为要衡量的具有挑战性的主题之一物联网应用。服务放置问题将 IoT 应用程序安排在具有各种原子服务能力的云边缘提供商上，尽管有足够的不同 QoS 因素来支持服务级别协议 (SLA) 合同。本文对物联网系统中的云边缘服务放置方法进行了技术分析。此技术分析的关键点是确定对服务放置方法的大量研究，这些研究需要额外考虑，以在物联网环境中制定更高效和有效的放置策略。此外，还提出了一种并行分类法来对云边缘服务放置方法和算法的相关研究进行分类。提供了对审查过的现有方法的统计和技术分析，并讨论了评估因素和属性。最后，