Optimal Device Management Service Selection in Internet-of-Things

2019 ◽  
pp. 45-57
Author(s):  
Weiling Li ◽  
Yunni Xia ◽  
Wanbo Zheng ◽  
Peng Chen ◽  
Jia Lee ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Service Selection ◽  
Management Service ◽  
Device Management

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

The device management service

2002 ◽  
Author(s):  
D. Do van Thanh ◽  
T. Jonvik ◽  
E. Vanem ◽  
Dao van Tran ◽  
J.A. Audestad
Keyword(s):  
Management Service ◽  
Device Management

scholarly journals IoT platforms for the Mining Industry: An Overview

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Paulina GACKOWIEC ◽  
Marta PODOBIŃSKA-STANIEC
Keyword(s):  
Internet Of Things ◽  
Predictive Analytics ◽  
Mining Industry ◽  
The Internet ◽  
Device Management ◽  
Computer Tools ◽  
Complex Processes ◽  
Use Of The Internet ◽  
Analytical Tools ◽  
The Internet Of Things

Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constanttechnological progress increases the possibilities of using computer tools and solutions to support processes in industry and productionoptimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extractionof valuable information from data. The integration of physical facilities in the enterprise enables the digitization of productionprocesses and the increase of efficiency and security.This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, withparticular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical toolsoffering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluateselected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) ormachine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-timedata capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoTvendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.

scholarly journals Network Management System for IoT Based on Dynamic Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Alsaffar ◽  
Abdulsattar Abdullah Hamad ◽  
Abdullah Alshammari ◽  
Gharbi Alshammari ◽  
Tariq S. Almurayziq ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Network Management ◽  
Management System ◽  
Network Activity ◽  
The Internet ◽  
Network Management System ◽  
Device Management ◽  
Snmp Protocol ◽  
Monitoring And Diagnostics ◽  
The Internet Of Things

The Internet of Things (IoT) has the potential to transform the public sector by combining the leading technical and business trends of mobility, automation, and data analysis to dramatically alter the way public bodies collect data and information. Embedded sensors, actuators, and other devices that capture and transmit information about network activity in real-time are used in the Internet of Things to connect networks of physical objects. The design of a network management system for an IoT network is presented in this paper, which uses the edge computing model. This design is based on the Internet management model, which uses the SNMP protocol to communicate between managed devices, and a gateway, which uses the SOAP protocol to communicate with a management application. This work allowed for the identification and analysis of the primary network management system initiatives for IoT networks, in which there are four fundamental device management requirements for any deployment of IoT devices: provisioning and authentication, configuration and control, monitoring and diagnostics, and software updates and maintenance.

scholarly journals Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

2019 ◽  
Vol 4 (2) ◽  
pp. 185
Author(s):  
Rakhmadhany Primananda ◽  
Reza Andria Siregar ◽  
Mochamad Atha
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Data Center ◽  
Access Time ◽  
Management Service ◽  
Access Management ◽  
User Requirement ◽  
Storage Media ◽  
And Performance ◽  
Use Of Internet

The widespread use of Internet of Things (IoT) has effect in a growing number of hardware devices that can be controlled and monitored using a variety of applications. It affects the amount of data that must be collected to be analyzed and processed according to user requirement. The greater the data collected results in requirement of storage media that has access management and scalability that are effective and efficient. The data collected in cloud-based infrastructure namely Openstack. Implementation in this research by involving two physical device of server as main infrastructure that located in network of Faculty of Computer Science, Brawijaya University Malang which used as controller node and compute node. Controller can adapt to the use of various dashboard and provide a good access management service for users to request and create instances in Openstack. The resulting data center shows good performance based on scalability, access, and performance of data transmission from IoT sensors. The test is done gradually by adding requirement of compute nodes up to 24 VCPU, 48 GB of RAM, and 235 GB of HD storage in registered instances. Access at the data center can be done either from faculty internal network (private) and faculty external network (public) with access time under 100 ms.

Challenges to Industrial Internet of Things (IIoT) Adoption

2021 ◽  
pp. 117-132
Author(s):  
V. Shunmughavel
Keyword(s):  
Internet Of Things ◽  
Data Integration ◽  
Cost Data ◽  
Innovative Technology ◽  
Industrial Internet Of Things ◽  
Device Management ◽  
Industrial Internet ◽  
Industry Applications ◽  
Practical Reality ◽  
Short Span

The industrial internet of things (IIoT) has made its development within a short span of time. Initially it was considered as a novel idea and currently it is a major driver in industry applications. It has created productivity and efficiency for industries worldwide. This innovative technology can become a practical reality if engineers overcome a variety of challenges. They are connectivity, cost, data integration, trust, privacy, device management, security, interoperability, collaboration, and integration. In this chapter, several facts behind the above-mentioned challenges are being explored and addressed.

An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study

2021 ◽  
Author(s):  
Alonso Tenorio-Trigoso ◽  
Manuel Castillo-Cara ◽  
Giovanny Mondragóón-Ruiz ◽  
Carmen Carrión ◽  
Blanca Caminero
Keyword(s):  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Streaming Data ◽  
Device Management ◽  
Message Queue ◽  
Event Stream ◽  
Loosely Coupled ◽  
Information And Communication ◽  
Computational Resources

Abstract Information and communication technologies backbone of a smart city is an Internet of Things (IoT) application that combines technologies such as low power IoT networks, device management, analytics or event stream processing. Hence, designing an efficient IoT architecture for real-time IoT applications brings technical challenges that include the integration of application network protocols and data processing. In this context, the system scalability of two architectures has been analysed: the first architecture, named as POST architecture, integrates the hyper text transfer protocol with an Extract-Transform-Load technique, and is used as baseline; the second architecture, named as MQTT-CEP, is based on a publish-subscribe protocol, i.e. message queue telemetry transport, and a complex event processor engine. In this analysis, SAVIA, a smart city citizen security application, has been deployed following both architectural approaches. Results show that the design of the network protocol and the data analytic layer impacts highly in the Quality of Service experimented by the final IoT users. The experiments show that the integrated MQTT-CEP architecture scales properly, keeps energy consumption limited and thereby, promotes the development of a distributed IoT architecture based on constraint resources. The drawback is an increase in latency, mainly caused by the loosely coupled communication pattern of MQTT, but within reasonable levels which stabilize with increasing workloads.

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