In the new era of the Internet of Things (IoT), all information related to the environment, things and humans is connected to networks. Humans, too, can be considered an integral part of the IoT ecosystem. The growing human-centricity of IoT applications raises the need greater dynamicity, heterogeneity, and scalability in future IoT systems. Recently, the IoT and cloud computing have both evolved as emerging technologies and have already become part of our daily life. The complementary features of the IoT and cloud are forming a new IT paradigm to meet current and future requirements. Due to the increased demand for and volume of IoT data, it has become a critical challenge to transfer data from the edge of the network to computing data centers due to the limitations of network bandwidth and higher latency delay. The emergence of the new paradigm of computing in the cloud computing architecture has made it necessary to overcome the inherent limitations of cloud computing, such as location awareness, scalability, energy efficiency, mobility, bandwidth bottlenecks, and latency delay. To address these issues, this paper proposes an efficient hybrid cloud architecture framework coupled with Li-Fi communication for a human-centric IoT network. It also introduces the architecture of the local cloud to reduce the latency delay and bandwidth cost and to improve efficiency, security, reliability and availability. Finally, the paper discusses the communication modulation schemes in the Li-Fi technique and presents scenarios involving the application of the proposed model in the real world.

中文翻译：

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基于Li-Fi的安全云框架，面向未来的IT环境

在物联网（IoT）的新时代，与环境，物联网和人类相关的所有信息都已连接到网络。人类也可以被视为物联网生态系统的组成部分。日益增长的以人为本的物联网应用引发了对未来物联网系统更大的动态性，异构性和可扩展性的需求。最近，物联网和云计算都已经发展成为新兴技术，并且已经成为我们日常生活的一部分。物联网和云的互补功能正在形成一种新的IT范式，以满足当前和未来的需求。由于对IoT数据的需求和数量不断增长，由于网络带宽的限制和更高的延迟延迟，将数据从网络边缘传输到计算数据中心已成为一项严峻的挑战。云计算体系结构中新的计算范式的出现使得有必要克服云计算的固有局限性，例如位置感知，可伸缩性，能效，移动性，带宽瓶颈和延迟延迟。为了解决这些问题，本文提出了一种高效的混合云架构框架，并结合了以人为中心的物联网网络的Li-Fi通信。它还介绍了本地云的体系结构，以减少延迟延迟和带宽成本，并提高效率，安全性，可靠性和可用性。最后，本文讨论了Li-Fi技术中的通信调制方案，并提出了涉及所提出的模型在现实世界中的应用的场景。