Quantum-Edge Cloud Computing for IoT: Bridging the Gap between Cloud, Edge, and Quantum Technologies  

作　　者：Shahanaz Akter Md. Khairul Islam Bhuiyan Md. Bahauddin Badhon Habib Md. Hasan Fatema Akter Mohammad Nahid Ul Islam Shahanaz Akter;Md. Khairul Islam Bhuiyan;Md. Bahauddin Badhon;Habib Md. Hasan;Fatema Akter;Mohammad Nahid Ul Islam(Department of Accounting and Finance, Southern Utah University, Cedar City, USA;Inventive Apps Ltd., New York, USA;School of Business and Technology, Emporia State University, Emporia, USA)

机构地区：[1]Department of Accounting and Finance, Southern Utah University, Cedar City, USA [2]Inventive Apps Ltd., New York, USA [3]School of Business and Technology, Emporia State University, Emporia, USA

出　　处：《Advances in Internet of Things》2024年第4期99-120,共22页物联网（英文）

摘　　要：The rapid expansion of the Internet of Things (IoT) has driven the need for advanced computational frameworks capable of handling the complex data processing and security challenges that modern IoT applications demand. However, traditional cloud computing frameworks face significant latency, scalability, and security issues. Quantum-Edge Cloud Computing (QECC) offers an innovative solution by integrating the computational power of quantum computing with the low-latency advantages of edge computing and the scalability of cloud computing resources. This study is grounded in an extensive literature review, performance improvements, and metrics data from Bangladesh, focusing on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. The discussion covers vital elements, including integrating quantum cryptography to enhance data security, the critical role of edge computing in reducing response times, and cloud computing’s ability to support large-scale IoT networks with its extensive resources. Through case studies such as the application of quantum sensors in autonomous vehicles, the practical impact of QECC is demonstrated. Additionally, the paper outlines future research opportunities, including developing quantum-resistant encryption techniques and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC has the potential to overcome the current limitations of IoT frameworks, setting a new standard for future IoT applications.The rapid expansion of the Internet of Things (IoT) has driven the need for advanced computational frameworks capable of handling the complex data processing and security challenges that modern IoT applications demand. However, traditional cloud computing frameworks face significant latency, scalability, and security issues. Quantum-Edge Cloud Computing (QECC) offers an innovative solution by integrating the computational power of quantum computing with the low-latency advantages of edge computing and the scalability of cloud computing resources. This study is grounded in an extensive literature review, performance improvements, and metrics data from Bangladesh, focusing on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. The discussion covers vital elements, including integrating quantum cryptography to enhance data security, the critical role of edge computing in reducing response times, and cloud computing’s ability to support large-scale IoT networks with its extensive resources. Through case studies such as the application of quantum sensors in autonomous vehicles, the practical impact of QECC is demonstrated. Additionally, the paper outlines future research opportunities, including developing quantum-resistant encryption techniques and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC has the potential to overcome the current limitations of IoT frameworks, setting a new standard for future IoT applications.

关 键 词：Quantum-Edge Cloud Computing (QECC) Internet of Things (IoT) Low Latency Quantum Computing (QC) Scalable Cloud Services 

分 类 号：TN9[电子电信—信息与通信工程]