Internet of things-based fog and cloud computing technology for smart traffic monitoring

2020 ◽  
pp. 100175 ◽  
Author(s):  
Swati Dhingra ◽  
Rajasekhara Babu Madda ◽  
Rizwan Patan ◽  
Pengcheng Jiao ◽  
Kaveh Barri ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Traffic Monitoring ◽  
Computing Technology ◽  
Smart Traffic

Triboelectric Sensor Array for Internet of Things based Smart Traffic Monitoring and Management System

Nano Energy ◽  
2021 ◽  
pp. 106757
Author(s):  
Xiya Yang ◽  
Guangqing Liu ◽  
Qiyao Guo ◽  
Haiyang Wen ◽  
Ruiyuan Huang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Management System ◽  
Sensor Array ◽  
Traffic Monitoring ◽  
Smart Traffic

Trends and Technologies in Big Data Processing

2020 ◽  
pp. 17-42
Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Computing Technology ◽  
Time Data ◽  
Big Data Processing ◽  
Real Time Data ◽  
Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

scholarly journals Research on Intelligent Scheduling Mechanism in Edge Network for Industrial Internet of Things

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Zhenzhong Zhang ◽  
Wei Sun ◽  
Yanliang Yu
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Task Scheduling ◽  
Edge Computing ◽  
The Internet ◽  
Computing Technology ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Internet Of Things Technology

With the vigorous development of the Internet of Things, the Internet, cloud computing, and mobile terminals, edge computing has emerged as a new type of Internet of Things technology, which is one of the important components of the Industrial Internet of Things. In the face of large-scale data processing and calculations, traditional cloud computing is facing tremendous pressure, and the demand for new low-latency computing technologies is imminent. As a supplementary expansion of cloud computing technology, mobile edge computing will sink the computing power from the previous cloud to a network edge node. Through the mutual cooperation between computing nodes, the number of nodes that can be calculated is more, the types are more comprehensive, and the computing range is even greater. Broadly, it makes up for the shortcomings of cloud computing technology. Although edge computing technology has many advantages and has certain research and application results, how to allocate a large number of computing tasks and computing resources to computing nodes and how to schedule computing tasks at edge nodes are still challenges for edge computing. In view of the problems encountered by edge computing technology in resource allocation and task scheduling, this paper designs a dynamic task scheduling strategy for edge computing with delay-aware characteristics, which realizes the reasonable utilization of computing resources and is required for edge computing systems. This paper proposes a resource allocation scheme combined with the simulated annealing algorithm, which minimizes the overall performance loss of the system while keeping the system low delay. Finally, it is verified through experiments that the task scheduling and resource allocation methods proposed in this paper can significantly reduce the response delay of the application.

An Analysis of Integration of Internet of Things and Cloud Computing

2019 ◽  
Vol 16 (10) ◽  
pp. 4345-4349
Author(s):  
Latika Kakkar ◽  
Deepali Gupta ◽  
Sapna Saxena ◽  
Sarvesh Tanwar
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Secure Communication ◽  
Traffic Monitoring ◽  
Third Party ◽  
Smart Devices ◽  
The Internet ◽  
Battery Life ◽  
Smart Healthcare

The Internet of Things (IoT) comprises of various smart devices which are networked together to detect, accumulate, process, improve and interchange significant data over the Internet. IoT has improved our lifestyle by offering various applications such as intelligent home, smart healthcare, traffic monitoring and smart city devices. The IoT devices have restriction of power, battery life, memory and network constraints, so cloud can be used for accumulating and analyzing the IoT data. Due to the considerable increase in data transfer over Internet and other devices, the confidential information from the IoT sources required to be secure from any third party access. Cloud computing (CC) on the other side provides a protected, abrupt and advantageous data storage and computing services all over the internet. The integration of both these technologies can prove to be beneficial for each other. Therefore, we need an efficient and authentic method for secure communication in the IoT and cloud based big data environment. This paper provides a review of amalgamation of the IoT and cloud by featuring the implementation challenges and integration benefits.

Integrated Fog and Cloud Computing Issues and Challenges

2021 ◽  
Vol 11 (4) ◽  
pp. 174-193
Author(s):  
Shivom Sharma ◽  
Mohammad Sajid
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Fog Computing ◽  
Low Latency ◽  
Traffic Lights ◽  
Computing Paradigm ◽  
Iot Devices ◽  
Smart Traffic ◽  
Smart Computing ◽  
Cloud Resources

Due to the exponential growth in the number of internet-of-things (IoT) devices like smartphones and smart traffic lights, the data generated by the devices and the service requirements are increasing. The biggest issue in accessing the cloud computing is that all processing is done on cloud resources. For cloud-based services, it is utmost required to send all data to cloud resources which leads to many issues and challenges. The important issues are large volume of data, low latency rate, low bandwidth. In order to resolve such issues, there is an essential need of a smart computing paradigm which works as a moderator between cloud computing and IoT devices to improve the performances of the services, maximizing utilization of computing resources, storage. This work presents an overview and description of fog computing in the context of cloud computing and internet of things (IoT) and also sheds light on the key differences between cloud computing and fog computing. This work also presents various issues and challenges in the context of fog computing with its various applications.

The Application of Cloud Computing with the Internet of Things

2015 ◽  
Vol 791 ◽  
pp. 42-48 ◽  
Author(s):  
Monika Kulisz ◽  
Jakub Pizoń
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Present Article ◽  
Cutting Process ◽  
The Internet ◽  
Computing Technology ◽  
The Internet Of Things ◽  
Mutual Communication

Internet of Things (IoT) is a technology enabling identification of individual devices, providing mutual communication between them and their user, and allowing them to cooperate. What is more, IoT delivers tools for simplification of monitoring and controlling of processes. The present article introduces an evolved solution to the Internet of Things usage in a machine cutting process of laminated boards relying on the Cloud Computing technology.

Sign in / Sign up

Export Citation Format

Share Document