A survey of trust computation models for service management in internet of things systems

2017 ◽  
Vol 97 ◽  
pp. 1-14 ◽  
Author(s):  
Jia Guo ◽  
Ing-Ray Chen ◽  
Jeffrey J.P. Tsai
Keyword(s):  
Internet Of Things ◽  
Service Management

scholarly journals Improving Service Management in the Internet of Things

Sensors ◽  
2012 ◽  
Vol 12 (9) ◽  
pp. 11888-11909 ◽  
Author(s):  
Chiara Sammarco ◽  
Antonio Iera
Keyword(s):  
Internet Of Things ◽  
Service Management ◽  
The Internet ◽  
The Internet Of Things

scholarly journals R-learning-based team game model for Internet of things quality-of-service control scheme

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668755 ◽  
Author(s):  
Sungwook Kim
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Power Control ◽  
Service Management ◽  
Simulation Analysis ◽  
Learning Algorithm ◽  
Control Approach ◽  
Management Scheme ◽  
Internet Of Things Technology

In modern times, it has been observed that Internet of things technology makes it possible for connecting various smart objects together through the Internet. For the effective Internet of things management, it is necessary to design and develop service models that ensure appropriate level of quality-of-service. Therefore, the design of quality-of-service management schemes has been a hot research issue. In this work, we formulate a new quality-of-service management scheme based on the IoT system power control algorithm. Using the emerging and largely unexplored concept of the R-learning algorithm and docitive paradigm, system agents can teach other agents how to adjust their power levels while reducing computation complexity and speeding up the learning process. Therefore, our proposed power control approach can provide the ability to practically respond to current Internet of things system conditions and suitable for real wireless communication operations. Finally, we validate the introduced concept and confirm the effectiveness of the proposed scheme in comparison with the existing schemes through extensive simulation analysis.

An Introduction to Cloud Design

2012 ◽  
Vol 591-593 ◽  
pp. 163-168 ◽  
Author(s):  
Ji Xiang Lu ◽  
Chang De Lu ◽  
Ping Wang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Service Management ◽  
Industrial Design ◽  
Science And Technology ◽  
Cloud Manufacturing ◽  
User Management ◽  
The World ◽  
To Come ◽  
Resource Deployment

The world is changing and the science and technology are making progress. Internet of Things is raging like a storm, and cloud manufacture is an invisible net preventing all escape. Changing the world, when conditions are ripe, success will come, which calls forth the idea of cloud design. This paper discusses the concept and theory of cloud design, which is a design framework empowered by advanced technologies including cloud computing. Cloud design is a modern design concept and methodology, and is the future of modern industrial design. The science and technology foundation of cloud design includes design, cloud manufacturing, internet of things, cloud computing, computer aided industrial design (CAID) , engineering, aesthetics, psychology, ergonomics, ontology and philosophy. The service system of cloud design consists of service, operational platform and resource. Its key technologies concern resource deployment, service management, resource provider/user management, and security. This paper also outlines the procedure and preliminary conclusion of the application of cloud design, gives direction and lays foundation for the follow-up research and development. As cloud design is new, this paper tries motivate researchers to come forward and contribute in various ways.

Semantic Interoperability in Internet of Things

2022 ◽  
pp. 140-171
Author(s):  
Kamalendu Pal
Keyword(s):  
Internet Of Things ◽  
Knowledge Representation ◽  
Service Management ◽  
Description Logics ◽  
Information Modeling ◽  
Distributed Data ◽  
Enterprise Information ◽  
Significant Research ◽  
Processing Information ◽  
Representation Techniques

The industry's internet of things (IoT) applications have drawn significant research attention in recent decades. IoT is a technology in which intelligent objects with sensors-enabled RFID tags, actuators, and processors communicate information to cater to a meaningful purpose in the industry. This way, IoT technology aims to simplify the distributed data collection in industrial practice, sharing and processing information and knowledge across many collaborating partners using suitable enterprise information systems. This chapter describes new methods with grounded knowledge representation techniques to address the needs of formal information modeling and reasoning for web-based services. The chapter presents a framework, apparel business decentralized data integration (ABDDI), which uses knowledge representation methods and formal languages (e.g., description logics – DLs) to annotate necessary business activities. This type of web service requires increased interoperability in service management operations.

The Development for Internet of Things Smart Home Service Operation Support Platform

2014 ◽  
Vol 507 ◽  
pp. 187-190 ◽  
Author(s):  
Xun Zhu ◽  
Zhi Fang Xu ◽  
Man Dong Hu
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Service Management ◽  
Computer Network ◽  
Service Support ◽  
Management Platform ◽  
Home Service ◽  
Comprehensive Service ◽  
Service Operation ◽  
Automation Control

Internet of things smart home integrates automation control system, computer network system and network communication technology. Internet of Things smart home service operation support platform implement the development of service operation support platform, smart home service management platform, the Internet of things device service support platform and huge amounts of data analysis platform. It realizes integration from single to comprehensive service, and bring comfortable, energy-saving, healthy new life for home users.

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