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...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.展开更多
Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage a...Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.展开更多
This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exch...This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.展开更多
近年来,随着我国经济不断发展,我国北方城市供热需求日趋增长。2021年以来,我国北方多地区迎来历史最强寒潮,但各地区冬季供热困难问题积存已久,导致资源浪费和环境污染问题层出不穷。目前,远程供热监控系统成为供热公司应对供热困难的...近年来,随着我国经济不断发展,我国北方城市供热需求日趋增长。2021年以来,我国北方多地区迎来历史最强寒潮,但各地区冬季供热困难问题积存已久,导致资源浪费和环境污染问题层出不穷。目前,远程供热监控系统成为供热公司应对供热困难的主要手段,但目前仍未有成熟的技术出现。基于中国电信天翼物联网云平台和窄带物联网技术(Narrow Band Internet of Things,NB-IoT)设计了一款集中供热阀门远程控制系统。分析了集中供热阀门远程控制系统的需求,搭建了基于“云-管-端”的系统主框架。完成了集中供热阀门远程控制系统的硬件终端构架并编写了下位机软件。应用天翼物联网云平台,实现了集中供热阀门远程控制系统的设备管理、数据储存、数据查看、远程控制等功能。通过对系统的测试,验证了设计的实用性。该设计完成了对用户单元阀门进水温度数据、开度数据实时采集上传的任务,实现了对单元阀门开度远程控制的任务,为我国冬季北方居民提供了更好的采暖服务。展开更多
The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after a...The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after another and created strong interdependence among one another. For example, IoT applications that generate small data with large volume and fast velocity will need 5G with characteristics of high data rate and low latency to transmit such data faster and cheaper. On the other hand, those data also need Cloud to process and to store and furthermore, SDN to provide scalable network infrastructure to transport this large volume of data in an optimal way. This article explores the technical relationships among the development of IoT, Big Data, Cloud, and SDN in the coming 5G era and illustrates several ongoing programs and applications at National Chiao Tung University that are based on the converging of those technologies.展开更多
文摘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.
文摘Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.
文摘This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.
文摘近年来,随着我国经济不断发展,我国北方城市供热需求日趋增长。2021年以来,我国北方多地区迎来历史最强寒潮,但各地区冬季供热困难问题积存已久,导致资源浪费和环境污染问题层出不穷。目前,远程供热监控系统成为供热公司应对供热困难的主要手段,但目前仍未有成熟的技术出现。基于中国电信天翼物联网云平台和窄带物联网技术(Narrow Band Internet of Things,NB-IoT)设计了一款集中供热阀门远程控制系统。分析了集中供热阀门远程控制系统的需求,搭建了基于“云-管-端”的系统主框架。完成了集中供热阀门远程控制系统的硬件终端构架并编写了下位机软件。应用天翼物联网云平台,实现了集中供热阀门远程控制系统的设备管理、数据储存、数据查看、远程控制等功能。通过对系统的测试,验证了设计的实用性。该设计完成了对用户单元阀门进水温度数据、开度数据实时采集上传的任务,实现了对单元阀门开度远程控制的任务,为我国冬季北方居民提供了更好的采暖服务。
文摘The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after another and created strong interdependence among one another. For example, IoT applications that generate small data with large volume and fast velocity will need 5G with characteristics of high data rate and low latency to transmit such data faster and cheaper. On the other hand, those data also need Cloud to process and to store and furthermore, SDN to provide scalable network infrastructure to transport this large volume of data in an optimal way. This article explores the technical relationships among the development of IoT, Big Data, Cloud, and SDN in the coming 5G era and illustrates several ongoing programs and applications at National Chiao Tung University that are based on the converging of those technologies.
